tx · DYnXaheJEujNk48NpccmiJUvu9Ktv5oECHD7MeaRSt1d

3N3n75UqB8G1GKmXFr4zPhKCjGcqJPRSuJY:  -0.11900000 Waves

2024.06.09 18:41 [3143390] smart account 3N3n75UqB8G1GKmXFr4zPhKCjGcqJPRSuJY > SELF 0.00000000 Waves

{
    "type": 13,
    "id": "DYnXaheJEujNk48NpccmiJUvu9Ktv5oECHD7MeaRSt1d",
    "fee": 11900000,
    "feeAssetId": null,
    "timestamp": 1717947681819,
    "version": 2,
    "chainId": 84,
    "sender": "3N3n75UqB8G1GKmXFr4zPhKCjGcqJPRSuJY",
    "senderPublicKey": "2AWdnJuBMzufXSjTvzVcawBQQhnhF1iXR6QNVgwn33oc",
    "proofs": [
        "44QW6isEayiJZywtGpFVwDcCZLBBaMzXFtkmEsYMmCRNWA4k276HUT99nJ6Pz7vWVcDJS8P4A9VZSKwnNfXuhmmT"
    ],
    "script": 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",
    "height": 3143390,
    "applicationStatus": "succeeded",
    "spentComplexity": 0
}

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Diff: 
Old
New
Differences
1
1
 
{-# STDLIB_VERSION 7 #-}
2
2
 
{-# SCRIPT_TYPE ACCOUNT #-}
3
3
 
{-# CONTENT_TYPE DAPP #-}
4
-
let weights_layer_1 = [[60049, 60073], [41419, 41425]]
4
+
let weights_layer_1 = [[564, 1539, -23179, 855, 294, 992, 5476, 6462, 5706], [1917, -323, 1527, 663, 9898, -1842, -2539, -5642, -8671], [-6042, -3786, 10256, -3162, 10158, -3899, 9125, -4040, -7722], [-1352, -922, -1104, 509, -34, 490, 5265, -12258, 9412], [-6464, -4986, 8360, -4702, -6679, 8185, -7182, -4902, 6565], [2731, 2632, -1565, 2507, 4954, 1299, -21654, 2803, 2973], [-6119, -3811, -2055, -3351, 14558, 532, -673, 1631, 3778], [6040, -838, -2110, -3854, 5085, -7445, -5852, -2461, 2966], [-4305, -3403, -2766, -3236, -4289, -1690, -4486, 21035, -4907], [-2672, -2470, -3494, -4088, -3877, -3084, 19487, -2652, -3706], [2412, 1642, 1964, -18620, -1462, 1182, -3050, -1253, 670], [19242, -2063, -4350, -3449, -5421, -4376, -4500, -3187, -4753], [-423, -2939, 14505, 251, -3736, -2437, -801, -2938, -3626], [-3949, 2718, -4336, -616, 4477, -317, -3449, 2738, -3683], [222, -14478, 407, -266, -8125, 2276, -770, 7233, 2045], [-4305, -4933, -4848, 2460, -2529, 9859, 2373, 674, 4044], [-5309, 10785, -5094, -3997, 10031, -4763, -5325, 10792, -5739], [-21947, 2385, 1861, 1808, 663, 1519, 2530, 2931, 4297], [-806, -3733, -6338, 1896, -14255, -3034, 5184, 5033, 260], [5592, 2940, 506, 5670, 741, 3691, 3501, 1949, -21185], [-1364, 1321, 274, -8135, -818, 998, -35, 945, -1949], [-129, -755, 2327, -4149, -13780, -2145, 121, -4248, 1181], [8429, 9219, 7419, -3778, -8656, -4177, -8727, -6674, -8870], [-2176, -3671, -12291, 5772, 5707, 176, 5703, -6078, -4386], [-1839, 2272, -1238, 4154, -12551, 4606, -6216, 21, 1667], [358, -5103, -3725, 10010, -2287, -1696, -2364, -2487, -766], [-1863, 20045, -3277, -1732, -4059, -1788, -1120, -914, -1592], [1803, 4262, 1396, 4433, 3261, -22890, 2005, 4044, 3658], [-3681, 678, 1429, 4937, -7337, 4294, 7123, 1740, -6057], [4997, 4766, -744, 7316, 4186, 2866, 5265, -16537, 1584], [-2515, -1614, -3018, -2442, -5076, -3150, -5879, -333, 17206], [-2745, -1716, -2322, -4940, -4712, 21290, -3686, -4457, -4159], [-3365, -1416, -1958, -14770, 53, -2617, 5627, 6320, 7960], [5355, 1147, 1384, -915, 3172, -2462, 947, -13150, 2117], [7412, -19148, -65, 2697, 6621, 1645, 4059, 2603, 3924], [-6636, -2689, -3386, 9831, 8304, 10028, -4819, -3035, -6716]]
5
5
 
6
-
let biases_layer_1 = [-25905, -63563]
6
+
let biases_layer_1 = [-6632, -548, -12850, -4518, -9916, -4022, -668, -4817, -2828, -3640, -4752, -4800, 151, 7959, -5093, -564, -11437, -6961, -4759, -7890, 8094, -1435, -10481, -3502, -2916, 5716, -2811, -6803, -2598, -2480, -3309, -5554, -7707, -4774, -3217, -11177]
7
7
 
8
-
let weights_layer_2 = [[83296, -89714]]
8
+
let weights_layer_2 = [[-2096, -1305, 5422, 3073, 3504, 5502, -2672, 5596, 1887, 10049, -1150, 5652, -1567, 363, -2745, 2825, 6455, 6153, -1234, -3728, 953, -3504, 4523, -1796, 3711, -266, -2127, 12373, -137, -726, -365, 12859, 232, 2427, 1257, 6005], [-106, -2166, -4757, 110, -2887, -1229, 431, 1116, 10520, -3279, -4476, 5340, 6974, 5935, -5474, 2669, -3732, -1383, -2237, -6304, 8181, 3944, -3330, 1628, -770, 3266, -10111, 6225, -245, 5486, -3833, 9944, -4287, 3038, -5067, -4065], [2510, 1181, -2623, 5033, -4689, -7522, 982, -1767, 1762, 614, 629, 9461, 892, 1024, -448, -2775, -1788, -7064, -479, 1173, -394, 5090, -4726, 4378, -468, -417, 498, 784, -2916, 678, 4935, 1103, -3363, -2438, 470, 1189], [-2360, 3603, -596, 747, -1269, 4471, -11635, 913, -3798, -3722, -4302, -1479, 3493, -257, 1495, 3177, 393, 559, -1514, 332, -4115, -401, 740, -8928, 6055, 3887, -1232, -7560, 3886, 3661, -6356, 2298, -5153, -153, -1423, -1253], [418, -74, -194, -537, 664, -712, -321, -1606, -606, 1231, 1318, -492, -1264, -1238, -1042, -678, -1643, -1346, -1354, -1211, -813, -76, -1336, -1019, 219, -1526, -689, -954, 51, -158, -427, 687, -256, -1220, -1567, 368], [-173, 241, 1681, -3579, -397, -2941, 5489, 3201, 4842, -4938, 1533, -3574, -1694, -4417, 1214, -103, -6495, -1498, 6381, 1009, 2520, -2869, 827, 1633, 3153, 2898, 6345, 12259, 319, 6083, -1585, 15327, 1697, 5367, 1243, -2953], [107, 145, -2188, 403, -911, 1298, -2149, 2150, -2290, -2026, -3789, -6824, 203, 915, 2349, 2191, -2096, 5985, -2224, 3649, -14167, -5157, -1335, -1897, 7794, 19238, -848, 10763, 3764, 3190, -5095, -8904, -5128, -1621, -1361, 1856], [3341, -1613, -2545, -1826, 4012, 5400, -2311, 722, -916, -830, -563, -2565, 1867, 4541, 6163, -4621, -2253, -1077, -1949, -2230, 356, 560, -1588, -390, -596, -1143, 19868, -1873, -410, 4803, -2544, 239, 977, 168, 8759, 4005], [-9858, 3688, 4177, 290, 520, -2893, -3909, 2431, 4223, 2125, 6224, 428, 73, 153, -2108, -5298, -99, -2885, 201, 12336, -1906, 2079, 4876, -589, 2448, -1349, -379, 7642, -1544, -3603, 2004, 2510, -1904, 2209, -1215, -117], [2281, -1072, 3996, -2334, 4235, -5507, -5850, -1218, 1095, -2154, -642, -2979, 9930, -3455, 1385, -4333, 863, 9045, -201, 2592, 2021, 891, -640, -7210, 4180, 377, 210, 2567, -3675, 459, -1476, 985, 2661, 1220, 562, 2375], [4832, -1143, -237, 1941, -4376, -5830, -387, -4099, -756, 12251, -3078, -3504, -2443, 4335, -4996, 1416, 206, 505, -4118, -159, -155, 2033, -5753, 4897, -732, -721, -853, -847, 5195, -1607, -1054, -2430, -1948, -2840, 1089, -6073], [17104, 2700, 2898, 1350, -2431, 1451, 150, -4051, -4498, -5733, 206, 3039, -4419, -3286, -4724, 835, 3310, 4881, 4011, 1028, -2818, -4128, -4579, 4811, -1824, 3096, 834, -6460, -561, 1406, 1344, 3584, 3963, -7074, -10575, 1183], [2078, 1015, 5473, -3486, -2176, -7196, -3221, 2047, 235, -2161, 7465, 17932, 1139, 16, 555, -4492, 780, 16413, 118, -3092, 1895, -611, -4913, -3975, 1483, 1696, 673, 2002, 1675, -85, -2287, 4063, 5576, 4087, 4041, -1404], [-5883, -5918, -837, 2697, -40, 350, -2524, 3499, 6892, 917, 2915, 518, 2635, -10878, -2696, 1323, -2544, -2772, 11436, -1107, -192, 11603, 5059, -4973, 12019, -99, 4420, -4674, 4064, -1382, 837, 3351, -5541, 614, -6637, -475], [-2295, 3567, 2535, 3126, 3960, 2910, -3538, -679, -2642, 4519, -3754, 14892, 476, 2866, 4168, -3821, 4623, 10654, 6543, 7306, -1025, 3456, 688, 318, -4355, 1513, 3300, -1805, -4555, -2618, 4840, 2324, 432, -3001, 4289, 6549], [3931, -807, -1791, 970, 6028, 6852, 285, 651, 2335, 7948, -6, 3726, 6668, -268, -4170, -1777, 4997, 1468, -1039, -424, -35, -267, 1643, -2070, -1533, 1219, -949, -411, 3380, -2783, 982, -3889, -1680, 1290, -3117, 5231], [-1577, -3050, -2093, 1381, -783, 3137, 6044, -1401, 381, -871, -814, -4675, -610, -1684, -382, 1224, -2221, 10105, -4910, -3667, 527, -6593, -1908, 1695, -3573, -1310, 2604, 2930, -5818, 1367, 1013, -1488, 555, -1199, -348, -236], [3335, -3891, -4146, 662, -5076, -5571, -1160, -1221, -2333, 2318, -6249, -2111, 1009, 2932, 2470, 2442, -3146, -6213, 4366, 1164, -574, 1966, -7984, -1998, -716, 3432, 4135, 4532, 6444, -3933, -2834, -866, -3434, -2958, 5587, -1600], [-838, 253, -859, -1222, 4350, -92, 607, 4011, 2234, -387, 4093, -1213, 14403, -1620, -1193, -4969, -4509, 2447, -2574, -1982, 1761, 499, -649, -6015, 942, -2154, -1608, 2990, -3994, -1568, 56, -4305, -2286, 4976, 813, 1030], [3066, 5948, 4074, -1060, 5667, -4937, 5734, 423, -2048, 2584, 697, 420, -825, -3885, 4486, -1865, 7827, 3486, 9713, -5074, -1460, -186, 9088, -2956, 4742, 310, -1012, 3708, -733, -1804, 1802, 223, 4528, 67, 1969, 2272], [4582, -2931, -1982, -5158, -1475, 444, 1703, 2309, 18746, 1479, 745, -216, -5152, -3864, -728, -4970, 1313, -3858, 5493, 4351, -1562, 49, -54, 1383, 1103, -282, -751, 4091, 1670, -6141, -1063, -4440, 377, -6219, 2215, -2458], [10033, -3350, -908, 3179, 3946, 4611, 107, 125, -5169, -971, 2597, -3581, 6468, -1559, 2573, -1565, 5836, -7819, 4255, 559, 2011, -2218, 3906, 1816, -1021, 3104, 3707, 2128, 3470, 265, -1217, -1012, 5130, 1898, 9447, 1013], [658, -1685, -1712, -790, -2307, 705, 5439, 580, 1744, -373, -2189, 1641, 18, -252, -2386, 2081, -1499, 2503, 1551, -4418, -1009, 3080, -446, -335, 2319, -1773, 2688, 3668, -2440, 1957, 3894, 1961, -1972, -623, -3800, -365], [-1669, 10737, 672, 964, 3822, 1905, 11737, 1648, 275, -3024, -3696, -1608, -2571, 6669, 139, -1584, -913, -2322, -6145, 702, 1485, -8048, -1778, 7825, -8300, -3090, -3025, 4640, -5757, 4231, -1531, -2860, 1907, 5703, -723, -797], [-2633, -5119, 8627, 2168, -890, 3944, -2776, 3651, 5205, 1529, 3780, -3753, -1904, -904, 1457, 4857, -746, -2564, -8256, -3110, 3267, -4825, 1364, 824, 1032, -2630, 14493, 2457, -1367, 1206, 3163, 5313, 1431, 4222, 6849, 6444], [-4291, 1097, -844, 2177, 3425, 14896, 4484, 7910, 5684, 21400, 3932, -705, 2131, -1274, 548, 1000, -2338, -2291, -3747, -6956, 73, -1122, 1148, 3160, 3379, -1019, -185, -2722, 4599, 3741, 879, -1954, -3506, 2368, 1223, 2317], [-2185, 223, -4644, -1412, 630, -3031, 2708, -3382, -911, 3367, 13855, 3568, -1963, -1066, 1143, -335, 687, -7617, -1032, -785, 9567, 1614, -3619, 3592, -7180, -12214, 840, -5226, -4516, -2974, -1094, 4227, 9004, -402, -2994, -2658], [799, -3078, 3005, 11370, -4284, 3271, 2849, 3684, -2867, -2893, 568, -4617, 471, 1593, 974, -847, 1607, 286, -1218, 16983, 3677, 284, 1897, -4501, 1976, 349, -1392, 885, -1849, -3860, 19921, 3745, 2275, -1508, -2128, -606], [-185, 3390, 277, -695, 3227, 2887, 4299, -2136, -2134, -1883, 6438, -2668, -4444, 5344, 1075, 1191, 2022, 815, -4963, -4414, 7824, -5766, -1414, 103, -5981, -1158, 556, -3631, -2253, -4335, -4069, 1289, 5596, -94, 34, -3464], [1685, -4007, -1332, -856, -3036, -4039, -2013, -1274, -1556, 4618, -4698, 5203, -107, -4809, -1377, -2733, -2406, -6411, 3977, 4240, -5948, 1050, -1793, 2509, -1882, 3806, -357, 4023, 2805, 4061, -1415, -309, -4757, -254, 2470, 488], [-7290, -3075, -2002, 503, -5791, -3621, 630, -2569, 4729, -3445, -1732, 3170, -816, 5571, -1525, 1089, -10117, 497, -195, -3385, 7700, 4913, -10956, -243, -37, 3590, 8360, -7880, -4761, -1089, 2892, -8772, -3768, 810, 213, -7224], [-8266, 1528, -936, 2328, 8643, 830, 4138, -3567, 2847, -1492, 3043, -91, -3211, -3528, 5105, -910, -5218, 8871, -2732, -5464, 1250, 1456, 917, 525, 4296, 995, 1819, -6723, -2903, 2621, 683, 481, 615, 965, 2595, -1880], [2655, -2790, 12413, 7609, 2861, -217, 3780, 322, 15931, -932, 5160, 1737, 3562, -2485, -6777, -997, 5342, -626, -1949, 4562, -2205, -3122, 2830, -1207, -2284, 5697, 870, -4454, 4004, 14396, 5935, 228, 825, 7482, 3312, 8595], [-2393, 5001, -637, -3215, -1747, 2528, -2626, -1978, -1652, -1195, -2664, -211, -5308, -526, 1315, 1522, -1125, -3577, -966, 3713, 228, -317, -1283, -2120, 4743, 1380, 192, 2520, 404, -4582, -410, 7377, -774, -3070, -717, -1071], [1777, -1480, 1443, -1212, 1609, -1079, -427, 179, -1312, -463, 296, 1210, -1256, -1443, -1357, -972, -19, 1103, -1031, -1670, 2018, 793, -869, -1243, 1891, -1822, 3238, -1969, -381, -1679, -309, 1502, -534, -1169, -1331, -1924], [-5742, 2942, -166, -4927, 2651, 7606, -2251, 1903, -1186, -3071, 2323, -7556, 13648, -1901, 2113, -4962, -1996, 7644, 4242, 1634, 2084, 2424, -1206, -7340, -1060, -3872, 578, 2666, 1271, -985, -2562, 2440, 1036, 1219, 3700, 4020]]
9
9
 
10
-
let biases_layer_2 = [-38117]
10
+
let biases_layer_2 = [-1768, 8209, 1935, 6068, 1144, 945, 2821, 287, -1979, 456, 7230, -4163, 1676, -2168, -3095, -1961, -1625, 8204, -26, -7049, -1025, -6862, -1472, -7671, 1261, -3408, -7758, 2778, -2872, -5227, 21209, 343, -7070, -12, 336, -2278]
11
+
12
+
let weights_layer_3 = [[-9317, 2910, 620, -228, 1610, 5421, 2761, 754, 2811, -2270, 4988, -6310, -21426, 2005, -16974, -4720, -4436, 7522, -111, -6940, -571, 1793, 150, -333, 4354, 2925, 2484, 4565, 4936, 388, 4070, -8381, -2501, 2472, -409, 6175], [1091, 14985, 5994, 7419, -1692, -7007, 1985, -17003, 3320, -5234, 2948, 3433, -2081, 4357, -5485, -37, 3740, -7076, 914, -4549, 487, -6295, 3202, -1999, -12831, 4826, 2047, 2865, 3341, -8123, 1152, -4427, -2360, 845, -3851, -1567], [3170, -3001, 16, 4114, 1448, 2750, 3644, -3529, 7086, -14054, 2580, -21113, -1151, 704, 1254, -6595, 2279, -2830, -18095, -2609, 1310, -10586, 457, -856, 4277, 2065, 1340, -2091, -2006, -7650, 9399, 9203, -5005, 6350, 1069, -16685], [31, 4815, 12845, -5516, 1626, 3480, -29237, 824, -584, -5454, 1714, 546, -5355, -1901, 3747, -1101, 8750, 6956, 1419, -6528, 846, -7768, 8701, -1002, 73, 168, -29198, -1835, 107, 4095, 4639, -3291, -5653, 4476, -728, 9307], [5863, 4945, 1281, 4748, 408, -6666, 1562, 468, -1625, 205, 3391, -915, 3150, -31536, -4780, -1298, -3063, 2241, 1305, -14830, 314, -3245, -3722, -28292, 8745, -828, 1695, 2445, -12087, -5147, 7734, -7306, 582, 2032, -553, -710], [-14743, -6340, 5274, 5173, 314, -14713, 5069, 1868, -2584, -2057, 4332, 3800, -4649, 2024, 2323, 3965, 5948, -3578, 4193, -4258, 6240, -3034, -882, 3563, -5152, 2657, 8463, -4486, -11621, -7521, 14395, 6833, -1, -3908, -424, 1679], [-9986, 2993, 2819, 5901, -498, 7336, 407, -1869, -764, 3495, -11816, 5097, 6429, -1581, -6180, -10516, 5264, 7540, 961, -475, -741, -6460, 800, 3218, -2338, -21638, -3159, 1523, 3848, -970, 7511, -532, 1004, -878, 1619, 1557], [69, -2163, 827, 8828, -385, -2432, 2613, 704, -907, -3341, 8018, 2854, -458, -2626, 4308, -1242, 3521, 8610, -3073, 964, -21911, 2565, 2032, 2134, -5156, -4150, 5429, 4212, 791, -6657, 4684, -6473, -19282, 8318, 3605, 4658], [536, 7804, -2112, 7804, -1536, 3409, -308, 6206, -16063, -2231, 4157, -1351, 5013, -931, -8226, 599, -8239, 898, -2716, -1701, 4741, -3679, 219, 3529, -3815, 2257, 5035, -22650, -2400, -7163, 3112, 1954, -8977, 966, -1432, 5029]]
13
+
14
+
let biases_layer_3 = [11212, 2074, 7455, -585, 8587, 2132, 6372, 4342, 6426]
11
15
 
12
16
 
func linear_forward_1 (input,weights,biases) = {
13
-
    let weighted_sum1 = ((((input[0] * weights[0][0]) + (input[1] * weights[0][1])) / 10000) + biases[0])
14
-
    let weighted_sum2 = ((((input[0] * weights[1][0]) + (input[1] * weights[1][1])) / 10000) + biases[1])
15
-
[weighted_sum1, weighted_sum2]
17
+
    let weighted_sum1 = (((((((((((input[0] * weights[0][0]) + (input[1] * weights[0][1])) + (input[2] * weights[0][2])) + (input[3] * weights[0][3])) + (input[4] * weights[0][4])) + (input[5] * weights[0][5])) + (input[6] * weights[0][6])) + (input[7] * weights[0][7])) + (input[8] * weights[0][8])) / 10000) + biases[0])
18
+
    let weighted_sum2 = (((((((((((input[0] * weights[1][0]) + (input[1] * weights[1][1])) + (input[2] * weights[1][2])) + (input[3] * weights[1][3])) + (input[4] * weights[1][4])) + (input[5] * weights[1][5])) + (input[6] * weights[1][6])) + (input[7] * weights[1][7])) + (input[8] * weights[1][8])) / 10000) + biases[1])
19
+
    let weighted_sum3 = (((((((((((input[0] * weights[2][0]) + (input[1] * weights[2][1])) + (input[2] * weights[2][2])) + (input[3] * weights[2][3])) + (input[4] * weights[2][4])) + (input[5] * weights[2][5])) + (input[6] * weights[2][6])) + (input[7] * weights[2][7])) + (input[8] * weights[2][8])) / 10000) + biases[2])
20
+
    let weighted_sum4 = (((((((((((input[0] * weights[3][0]) + (input[1] * weights[3][1])) + (input[2] * weights[3][2])) + (input[3] * weights[3][3])) + (input[4] * weights[3][4])) + (input[5] * weights[3][5])) + (input[6] * weights[3][6])) + (input[7] * weights[3][7])) + (input[8] * weights[3][8])) / 10000) + biases[3])
21
+
    let weighted_sum5 = (((((((((((input[0] * weights[4][0]) + (input[1] * weights[4][1])) + (input[2] * weights[4][2])) + (input[3] * weights[4][3])) + (input[4] * weights[4][4])) + (input[5] * weights[4][5])) + (input[6] * weights[4][6])) + (input[7] * weights[4][7])) + (input[8] * weights[4][8])) / 10000) + biases[4])
22
+
    let weighted_sum6 = (((((((((((input[0] * weights[5][0]) + (input[1] * weights[5][1])) + (input[2] * weights[5][2])) + (input[3] * weights[5][3])) + (input[4] * weights[5][4])) + (input[5] * weights[5][5])) + (input[6] * weights[5][6])) + (input[7] * weights[5][7])) + (input[8] * weights[5][8])) / 10000) + biases[5])
23
+
    let weighted_sum7 = (((((((((((input[0] * weights[6][0]) + (input[1] * weights[6][1])) + (input[2] * weights[6][2])) + (input[3] * weights[6][3])) + (input[4] * weights[6][4])) + (input[5] * weights[6][5])) + (input[6] * weights[6][6])) + (input[7] * weights[6][7])) + (input[8] * weights[6][8])) / 10000) + biases[6])
24
+
    let weighted_sum8 = (((((((((((input[0] * weights[7][0]) + (input[1] * weights[7][1])) + (input[2] * weights[7][2])) + (input[3] * weights[7][3])) + (input[4] * weights[7][4])) + (input[5] * weights[7][5])) + (input[6] * weights[7][6])) + (input[7] * weights[7][7])) + (input[8] * weights[7][8])) / 10000) + biases[7])
25
+
    let weighted_sum9 = (((((((((((input[0] * weights[8][0]) + (input[1] * weights[8][1])) + (input[2] * weights[8][2])) + (input[3] * weights[8][3])) + (input[4] * weights[8][4])) + (input[5] * weights[8][5])) + (input[6] * weights[8][6])) + (input[7] * weights[8][7])) + (input[8] * weights[8][8])) / 10000) + biases[8])
26
+
    let weighted_sum10 = (((((((((((input[0] * weights[9][0]) + (input[1] * weights[9][1])) + (input[2] * weights[9][2])) + (input[3] * weights[9][3])) + (input[4] * weights[9][4])) + (input[5] * weights[9][5])) + (input[6] * weights[9][6])) + (input[7] * weights[9][7])) + (input[8] * weights[9][8])) / 10000) + biases[9])
27
+
    let weighted_sum11 = (((((((((((input[0] * weights[10][0]) + (input[1] * weights[10][1])) + (input[2] * weights[10][2])) + (input[3] * weights[10][3])) + (input[4] * weights[10][4])) + (input[5] * weights[10][5])) + (input[6] * weights[10][6])) + (input[7] * weights[10][7])) + (input[8] * weights[10][8])) / 10000) + biases[10])
28
+
    let weighted_sum12 = (((((((((((input[0] * weights[11][0]) + (input[1] * weights[11][1])) + (input[2] * weights[11][2])) + (input[3] * weights[11][3])) + (input[4] * weights[11][4])) + (input[5] * weights[11][5])) + (input[6] * weights[11][6])) + (input[7] * weights[11][7])) + (input[8] * weights[11][8])) / 10000) + biases[11])
29
+
    let weighted_sum13 = (((((((((((input[0] * weights[12][0]) + (input[1] * weights[12][1])) + (input[2] * weights[12][2])) + (input[3] * weights[12][3])) + (input[4] * weights[12][4])) + (input[5] * weights[12][5])) + (input[6] * weights[12][6])) + (input[7] * weights[12][7])) + (input[8] * weights[12][8])) / 10000) + biases[12])
30
+
    let weighted_sum14 = (((((((((((input[0] * weights[13][0]) + (input[1] * weights[13][1])) + (input[2] * weights[13][2])) + (input[3] * weights[13][3])) + (input[4] * weights[13][4])) + (input[5] * weights[13][5])) + (input[6] * weights[13][6])) + (input[7] * weights[13][7])) + (input[8] * weights[13][8])) / 10000) + biases[13])
31
+
    let weighted_sum15 = (((((((((((input[0] * weights[14][0]) + (input[1] * weights[14][1])) + (input[2] * weights[14][2])) + (input[3] * weights[14][3])) + (input[4] * weights[14][4])) + (input[5] * weights[14][5])) + (input[6] * weights[14][6])) + (input[7] * weights[14][7])) + (input[8] * weights[14][8])) / 10000) + biases[14])
32
+
    let weighted_sum16 = (((((((((((input[0] * weights[15][0]) + (input[1] * weights[15][1])) + (input[2] * weights[15][2])) + (input[3] * weights[15][3])) + (input[4] * weights[15][4])) + (input[5] * weights[15][5])) + (input[6] * weights[15][6])) + (input[7] * weights[15][7])) + (input[8] * weights[15][8])) / 10000) + biases[15])
33
+
    let weighted_sum17 = (((((((((((input[0] * weights[16][0]) + (input[1] * weights[16][1])) + (input[2] * weights[16][2])) + (input[3] * weights[16][3])) + (input[4] * weights[16][4])) + (input[5] * weights[16][5])) + (input[6] * weights[16][6])) + (input[7] * weights[16][7])) + (input[8] * weights[16][8])) / 10000) + biases[16])
34
+
    let weighted_sum18 = (((((((((((input[0] * weights[17][0]) + (input[1] * weights[17][1])) + (input[2] * weights[17][2])) + (input[3] * weights[17][3])) + (input[4] * weights[17][4])) + (input[5] * weights[17][5])) + (input[6] * weights[17][6])) + (input[7] * weights[17][7])) + (input[8] * weights[17][8])) / 10000) + biases[17])
35
+
    let weighted_sum19 = (((((((((((input[0] * weights[18][0]) + (input[1] * weights[18][1])) + (input[2] * weights[18][2])) + (input[3] * weights[18][3])) + (input[4] * weights[18][4])) + (input[5] * weights[18][5])) + (input[6] * weights[18][6])) + (input[7] * weights[18][7])) + (input[8] * weights[18][8])) / 10000) + biases[18])
36
+
    let weighted_sum20 = (((((((((((input[0] * weights[19][0]) + (input[1] * weights[19][1])) + (input[2] * weights[19][2])) + (input[3] * weights[19][3])) + (input[4] * weights[19][4])) + (input[5] * weights[19][5])) + (input[6] * weights[19][6])) + (input[7] * weights[19][7])) + (input[8] * weights[19][8])) / 10000) + biases[19])
37
+
    let weighted_sum21 = (((((((((((input[0] * weights[20][0]) + (input[1] * weights[20][1])) + (input[2] * weights[20][2])) + (input[3] * weights[20][3])) + (input[4] * weights[20][4])) + (input[5] * weights[20][5])) + (input[6] * weights[20][6])) + (input[7] * weights[20][7])) + (input[8] * weights[20][8])) / 10000) + biases[20])
38
+
    let weighted_sum22 = (((((((((((input[0] * weights[21][0]) + (input[1] * weights[21][1])) + (input[2] * weights[21][2])) + (input[3] * weights[21][3])) + (input[4] * weights[21][4])) + (input[5] * weights[21][5])) + (input[6] * weights[21][6])) + (input[7] * weights[21][7])) + (input[8] * weights[21][8])) / 10000) + biases[21])
39
+
    let weighted_sum23 = (((((((((((input[0] * weights[22][0]) + (input[1] * weights[22][1])) + (input[2] * weights[22][2])) + (input[3] * weights[22][3])) + (input[4] * weights[22][4])) + (input[5] * weights[22][5])) + (input[6] * weights[22][6])) + (input[7] * weights[22][7])) + (input[8] * weights[22][8])) / 10000) + biases[22])
40
+
    let weighted_sum24 = (((((((((((input[0] * weights[23][0]) + (input[1] * weights[23][1])) + (input[2] * weights[23][2])) + (input[3] * weights[23][3])) + (input[4] * weights[23][4])) + (input[5] * weights[23][5])) + (input[6] * weights[23][6])) + (input[7] * weights[23][7])) + (input[8] * weights[23][8])) / 10000) + biases[23])
41
+
    let weighted_sum25 = (((((((((((input[0] * weights[24][0]) + (input[1] * weights[24][1])) + (input[2] * weights[24][2])) + (input[3] * weights[24][3])) + (input[4] * weights[24][4])) + (input[5] * weights[24][5])) + (input[6] * weights[24][6])) + (input[7] * weights[24][7])) + (input[8] * weights[24][8])) / 10000) + biases[24])
42
+
    let weighted_sum26 = (((((((((((input[0] * weights[25][0]) + (input[1] * weights[25][1])) + (input[2] * weights[25][2])) + (input[3] * weights[25][3])) + (input[4] * weights[25][4])) + (input[5] * weights[25][5])) + (input[6] * weights[25][6])) + (input[7] * weights[25][7])) + (input[8] * weights[25][8])) / 10000) + biases[25])
43
+
    let weighted_sum27 = (((((((((((input[0] * weights[26][0]) + (input[1] * weights[26][1])) + (input[2] * weights[26][2])) + (input[3] * weights[26][3])) + (input[4] * weights[26][4])) + (input[5] * weights[26][5])) + (input[6] * weights[26][6])) + (input[7] * weights[26][7])) + (input[8] * weights[26][8])) / 10000) + biases[26])
44
+
    let weighted_sum28 = (((((((((((input[0] * weights[27][0]) + (input[1] * weights[27][1])) + (input[2] * weights[27][2])) + (input[3] * weights[27][3])) + (input[4] * weights[27][4])) + (input[5] * weights[27][5])) + (input[6] * weights[27][6])) + (input[7] * weights[27][7])) + (input[8] * weights[27][8])) / 10000) + biases[27])
45
+
    let weighted_sum29 = (((((((((((input[0] * weights[28][0]) + (input[1] * weights[28][1])) + (input[2] * weights[28][2])) + (input[3] * weights[28][3])) + (input[4] * weights[28][4])) + (input[5] * weights[28][5])) + (input[6] * weights[28][6])) + (input[7] * weights[28][7])) + (input[8] * weights[28][8])) / 10000) + biases[28])
46
+
    let weighted_sum30 = (((((((((((input[0] * weights[29][0]) + (input[1] * weights[29][1])) + (input[2] * weights[29][2])) + (input[3] * weights[29][3])) + (input[4] * weights[29][4])) + (input[5] * weights[29][5])) + (input[6] * weights[29][6])) + (input[7] * weights[29][7])) + (input[8] * weights[29][8])) / 10000) + biases[29])
47
+
    let weighted_sum31 = (((((((((((input[0] * weights[30][0]) + (input[1] * weights[30][1])) + (input[2] * weights[30][2])) + (input[3] * weights[30][3])) + (input[4] * weights[30][4])) + (input[5] * weights[30][5])) + (input[6] * weights[30][6])) + (input[7] * weights[30][7])) + (input[8] * weights[30][8])) / 10000) + biases[30])
48
+
    let weighted_sum32 = (((((((((((input[0] * weights[31][0]) + (input[1] * weights[31][1])) + (input[2] * weights[31][2])) + (input[3] * weights[31][3])) + (input[4] * weights[31][4])) + (input[5] * weights[31][5])) + (input[6] * weights[31][6])) + (input[7] * weights[31][7])) + (input[8] * weights[31][8])) / 10000) + biases[31])
49
+
    let weighted_sum33 = (((((((((((input[0] * weights[32][0]) + (input[1] * weights[32][1])) + (input[2] * weights[32][2])) + (input[3] * weights[32][3])) + (input[4] * weights[32][4])) + (input[5] * weights[32][5])) + (input[6] * weights[32][6])) + (input[7] * weights[32][7])) + (input[8] * weights[32][8])) / 10000) + biases[32])
50
+
    let weighted_sum34 = (((((((((((input[0] * weights[33][0]) + (input[1] * weights[33][1])) + (input[2] * weights[33][2])) + (input[3] * weights[33][3])) + (input[4] * weights[33][4])) + (input[5] * weights[33][5])) + (input[6] * weights[33][6])) + (input[7] * weights[33][7])) + (input[8] * weights[33][8])) / 10000) + biases[33])
51
+
    let weighted_sum35 = (((((((((((input[0] * weights[34][0]) + (input[1] * weights[34][1])) + (input[2] * weights[34][2])) + (input[3] * weights[34][3])) + (input[4] * weights[34][4])) + (input[5] * weights[34][5])) + (input[6] * weights[34][6])) + (input[7] * weights[34][7])) + (input[8] * weights[34][8])) / 10000) + biases[34])
52
+
    let weighted_sum36 = (((((((((((input[0] * weights[35][0]) + (input[1] * weights[35][1])) + (input[2] * weights[35][2])) + (input[3] * weights[35][3])) + (input[4] * weights[35][4])) + (input[5] * weights[35][5])) + (input[6] * weights[35][6])) + (input[7] * weights[35][7])) + (input[8] * weights[35][8])) / 10000) + biases[35])
53
+
[weighted_sum1, weighted_sum2, weighted_sum3, weighted_sum4, weighted_sum5, weighted_sum6, weighted_sum7, weighted_sum8, weighted_sum9, weighted_sum10, weighted_sum11, weighted_sum12, weighted_sum13, weighted_sum14, weighted_sum15, weighted_sum16, weighted_sum17, weighted_sum18, weighted_sum19, weighted_sum20, weighted_sum21, weighted_sum22, weighted_sum23, weighted_sum24, weighted_sum25, weighted_sum26, weighted_sum27, weighted_sum28, weighted_sum29, weighted_sum30, weighted_sum31, weighted_sum32, weighted_sum33, weighted_sum34, weighted_sum35, weighted_sum36]
16
54
 
    }
17
55
 
18
56
 
19
57
 
func linear_forward_2 (input,weights,biases) = {
20
-
    let weighted_sum1 = ((((input[0] * weights[0][0]) + (input[1] * weights[0][1])) / 10000) + biases[0])
21
-
[weighted_sum1]
58
+
    let weighted_sum1 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[0][0]) + (input[1] * weights[0][1])) + (input[2] * weights[0][2])) + (input[3] * weights[0][3])) + (input[4] * weights[0][4])) + (input[5] * weights[0][5])) + (input[6] * weights[0][6])) + (input[7] * weights[0][7])) + (input[8] * weights[0][8])) + (input[9] * weights[0][9])) + (input[10] * weights[0][10])) + (input[11] * weights[0][11])) + (input[12] * weights[0][12])) + (input[13] * weights[0][13])) + (input[14] * weights[0][14])) + (input[15] * weights[0][15])) + (input[16] * weights[0][16])) + (input[17] * weights[0][17])) + (input[18] * weights[0][18])) + (input[19] * weights[0][19])) + (input[20] * weights[0][20])) + (input[21] * weights[0][21])) + (input[22] * weights[0][22])) + (input[23] * weights[0][23])) + (input[24] * weights[0][24])) + (input[25] * weights[0][25])) + (input[26] * weights[0][26])) + (input[27] * weights[0][27])) + (input[28] * weights[0][28])) + (input[29] * weights[0][29])) + (input[30] * weights[0][30])) + (input[31] * weights[0][31])) + (input[32] * weights[0][32])) + (input[33] * weights[0][33])) + (input[34] * weights[0][34])) + (input[35] * weights[0][35])) / 10000) + biases[0])
59
+
    let weighted_sum2 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[1][0]) + (input[1] * weights[1][1])) + (input[2] * weights[1][2])) + (input[3] * weights[1][3])) + (input[4] * weights[1][4])) + (input[5] * weights[1][5])) + (input[6] * weights[1][6])) + (input[7] * weights[1][7])) + (input[8] * weights[1][8])) + (input[9] * weights[1][9])) + (input[10] * weights[1][10])) + (input[11] * weights[1][11])) + (input[12] * weights[1][12])) + (input[13] * weights[1][13])) + (input[14] * weights[1][14])) + (input[15] * weights[1][15])) + (input[16] * weights[1][16])) + (input[17] * weights[1][17])) + (input[18] * weights[1][18])) + (input[19] * weights[1][19])) + (input[20] * weights[1][20])) + (input[21] * weights[1][21])) + (input[22] * weights[1][22])) + (input[23] * weights[1][23])) + (input[24] * weights[1][24])) + (input[25] * weights[1][25])) + (input[26] * weights[1][26])) + (input[27] * weights[1][27])) + (input[28] * weights[1][28])) + (input[29] * weights[1][29])) + (input[30] * weights[1][30])) + (input[31] * weights[1][31])) + (input[32] * weights[1][32])) + (input[33] * weights[1][33])) + (input[34] * weights[1][34])) + (input[35] * weights[1][35])) / 10000) + biases[1])
60
+
    let weighted_sum3 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[2][0]) + (input[1] * weights[2][1])) + (input[2] * weights[2][2])) + (input[3] * weights[2][3])) + (input[4] * weights[2][4])) + (input[5] * weights[2][5])) + (input[6] * weights[2][6])) + (input[7] * weights[2][7])) + (input[8] * weights[2][8])) + (input[9] * weights[2][9])) + (input[10] * weights[2][10])) + (input[11] * weights[2][11])) + (input[12] * weights[2][12])) + (input[13] * weights[2][13])) + (input[14] * weights[2][14])) + (input[15] * weights[2][15])) + (input[16] * weights[2][16])) + (input[17] * weights[2][17])) + (input[18] * weights[2][18])) + (input[19] * weights[2][19])) + (input[20] * weights[2][20])) + (input[21] * weights[2][21])) + (input[22] * weights[2][22])) + (input[23] * weights[2][23])) + (input[24] * weights[2][24])) + (input[25] * weights[2][25])) + (input[26] * weights[2][26])) + (input[27] * weights[2][27])) + (input[28] * weights[2][28])) + (input[29] * weights[2][29])) + (input[30] * weights[2][30])) + (input[31] * weights[2][31])) + (input[32] * weights[2][32])) + (input[33] * weights[2][33])) + (input[34] * weights[2][34])) + (input[35] * weights[2][35])) / 10000) + biases[2])
61
+
    let weighted_sum4 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[3][0]) + (input[1] * weights[3][1])) + (input[2] * weights[3][2])) + (input[3] * weights[3][3])) + (input[4] * weights[3][4])) + (input[5] * weights[3][5])) + (input[6] * weights[3][6])) + (input[7] * weights[3][7])) + (input[8] * weights[3][8])) + (input[9] * weights[3][9])) + (input[10] * weights[3][10])) + (input[11] * weights[3][11])) + (input[12] * weights[3][12])) + (input[13] * weights[3][13])) + (input[14] * weights[3][14])) + (input[15] * weights[3][15])) + (input[16] * weights[3][16])) + (input[17] * weights[3][17])) + (input[18] * weights[3][18])) + (input[19] * weights[3][19])) + (input[20] * weights[3][20])) + (input[21] * weights[3][21])) + (input[22] * weights[3][22])) + (input[23] * weights[3][23])) + (input[24] * weights[3][24])) + (input[25] * weights[3][25])) + (input[26] * weights[3][26])) + (input[27] * weights[3][27])) + (input[28] * weights[3][28])) + (input[29] * weights[3][29])) + (input[30] * weights[3][30])) + (input[31] * weights[3][31])) + (input[32] * weights[3][32])) + (input[33] * weights[3][33])) + (input[34] * weights[3][34])) + (input[35] * weights[3][35])) / 10000) + biases[3])
62
+
    let weighted_sum5 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[4][0]) + (input[1] * weights[4][1])) + (input[2] * weights[4][2])) + (input[3] * weights[4][3])) + (input[4] * weights[4][4])) + (input[5] * weights[4][5])) + (input[6] * weights[4][6])) + (input[7] * weights[4][7])) + (input[8] * weights[4][8])) + (input[9] * weights[4][9])) + (input[10] * weights[4][10])) + (input[11] * weights[4][11])) + (input[12] * weights[4][12])) + (input[13] * weights[4][13])) + (input[14] * weights[4][14])) + (input[15] * weights[4][15])) + (input[16] * weights[4][16])) + (input[17] * weights[4][17])) + (input[18] * weights[4][18])) + (input[19] * weights[4][19])) + (input[20] * weights[4][20])) + (input[21] * weights[4][21])) + (input[22] * weights[4][22])) + (input[23] * weights[4][23])) + (input[24] * weights[4][24])) + (input[25] * weights[4][25])) + (input[26] * weights[4][26])) + (input[27] * weights[4][27])) + (input[28] * weights[4][28])) + (input[29] * weights[4][29])) + (input[30] * weights[4][30])) + (input[31] * weights[4][31])) + (input[32] * weights[4][32])) + (input[33] * weights[4][33])) + (input[34] * weights[4][34])) + (input[35] * weights[4][35])) / 10000) + biases[4])
63
+
    let weighted_sum6 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[5][0]) + (input[1] * weights[5][1])) + (input[2] * weights[5][2])) + (input[3] * weights[5][3])) + (input[4] * weights[5][4])) + (input[5] * weights[5][5])) + (input[6] * weights[5][6])) + (input[7] * weights[5][7])) + (input[8] * weights[5][8])) + (input[9] * weights[5][9])) + (input[10] * weights[5][10])) + (input[11] * weights[5][11])) + (input[12] * weights[5][12])) + (input[13] * weights[5][13])) + (input[14] * weights[5][14])) + (input[15] * weights[5][15])) + (input[16] * weights[5][16])) + (input[17] * weights[5][17])) + (input[18] * weights[5][18])) + (input[19] * weights[5][19])) + (input[20] * weights[5][20])) + (input[21] * weights[5][21])) + (input[22] * weights[5][22])) + (input[23] * weights[5][23])) + (input[24] * weights[5][24])) + (input[25] * weights[5][25])) + (input[26] * weights[5][26])) + (input[27] * weights[5][27])) + (input[28] * weights[5][28])) + (input[29] * weights[5][29])) + (input[30] * weights[5][30])) + (input[31] * weights[5][31])) + (input[32] * weights[5][32])) + (input[33] * weights[5][33])) + (input[34] * weights[5][34])) + (input[35] * weights[5][35])) / 10000) + biases[5])
64
+
    let weighted_sum7 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[6][0]) + (input[1] * weights[6][1])) + (input[2] * weights[6][2])) + (input[3] * weights[6][3])) + (input[4] * weights[6][4])) + (input[5] * weights[6][5])) + (input[6] * weights[6][6])) + (input[7] * weights[6][7])) + (input[8] * weights[6][8])) + (input[9] * weights[6][9])) + (input[10] * weights[6][10])) + (input[11] * weights[6][11])) + (input[12] * weights[6][12])) + (input[13] * weights[6][13])) + (input[14] * weights[6][14])) + (input[15] * weights[6][15])) + (input[16] * weights[6][16])) + (input[17] * weights[6][17])) + (input[18] * weights[6][18])) + (input[19] * weights[6][19])) + (input[20] * weights[6][20])) + (input[21] * weights[6][21])) + (input[22] * weights[6][22])) + (input[23] * weights[6][23])) + (input[24] * weights[6][24])) + (input[25] * weights[6][25])) + (input[26] * weights[6][26])) + (input[27] * weights[6][27])) + (input[28] * weights[6][28])) + (input[29] * weights[6][29])) + (input[30] * weights[6][30])) + (input[31] * weights[6][31])) + (input[32] * weights[6][32])) + (input[33] * weights[6][33])) + (input[34] * weights[6][34])) + (input[35] * weights[6][35])) / 10000) + biases[6])
65
+
    let weighted_sum8 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[7][0]) + (input[1] * weights[7][1])) + (input[2] * weights[7][2])) + (input[3] * weights[7][3])) + (input[4] * weights[7][4])) + (input[5] * weights[7][5])) + (input[6] * weights[7][6])) + (input[7] * weights[7][7])) + (input[8] * weights[7][8])) + (input[9] * weights[7][9])) + (input[10] * weights[7][10])) + (input[11] * weights[7][11])) + (input[12] * weights[7][12])) + (input[13] * weights[7][13])) + (input[14] * weights[7][14])) + (input[15] * weights[7][15])) + (input[16] * weights[7][16])) + (input[17] * weights[7][17])) + (input[18] * weights[7][18])) + (input[19] * weights[7][19])) + (input[20] * weights[7][20])) + (input[21] * weights[7][21])) + (input[22] * weights[7][22])) + (input[23] * weights[7][23])) + (input[24] * weights[7][24])) + (input[25] * weights[7][25])) + (input[26] * weights[7][26])) + (input[27] * weights[7][27])) + (input[28] * weights[7][28])) + (input[29] * weights[7][29])) + (input[30] * weights[7][30])) + (input[31] * weights[7][31])) + (input[32] * weights[7][32])) + (input[33] * weights[7][33])) + (input[34] * weights[7][34])) + (input[35] * weights[7][35])) / 10000) + biases[7])
66
+
    let weighted_sum9 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[8][0]) + (input[1] * weights[8][1])) + (input[2] * weights[8][2])) + (input[3] * weights[8][3])) + (input[4] * weights[8][4])) + (input[5] * weights[8][5])) + (input[6] * weights[8][6])) + (input[7] * weights[8][7])) + (input[8] * weights[8][8])) + (input[9] * weights[8][9])) + (input[10] * weights[8][10])) + (input[11] * weights[8][11])) + (input[12] * weights[8][12])) + (input[13] * weights[8][13])) + (input[14] * weights[8][14])) + (input[15] * weights[8][15])) + (input[16] * weights[8][16])) + (input[17] * weights[8][17])) + (input[18] * weights[8][18])) + (input[19] * weights[8][19])) + (input[20] * weights[8][20])) + (input[21] * weights[8][21])) + (input[22] * weights[8][22])) + (input[23] * weights[8][23])) + (input[24] * weights[8][24])) + (input[25] * weights[8][25])) + (input[26] * weights[8][26])) + (input[27] * weights[8][27])) + (input[28] * weights[8][28])) + (input[29] * weights[8][29])) + (input[30] * weights[8][30])) + (input[31] * weights[8][31])) + (input[32] * weights[8][32])) + (input[33] * weights[8][33])) + (input[34] * weights[8][34])) + (input[35] * weights[8][35])) / 10000) + biases[8])
67
+
    let weighted_sum10 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[9][0]) + (input[1] * weights[9][1])) + (input[2] * weights[9][2])) + (input[3] * weights[9][3])) + (input[4] * weights[9][4])) + (input[5] * weights[9][5])) + (input[6] * weights[9][6])) + (input[7] * weights[9][7])) + (input[8] * weights[9][8])) + (input[9] * weights[9][9])) + (input[10] * weights[9][10])) + (input[11] * weights[9][11])) + (input[12] * weights[9][12])) + (input[13] * weights[9][13])) + (input[14] * weights[9][14])) + (input[15] * weights[9][15])) + (input[16] * weights[9][16])) + (input[17] * weights[9][17])) + (input[18] * weights[9][18])) + (input[19] * weights[9][19])) + (input[20] * weights[9][20])) + (input[21] * weights[9][21])) + (input[22] * weights[9][22])) + (input[23] * weights[9][23])) + (input[24] * weights[9][24])) + (input[25] * weights[9][25])) + (input[26] * weights[9][26])) + (input[27] * weights[9][27])) + (input[28] * weights[9][28])) + (input[29] * weights[9][29])) + (input[30] * weights[9][30])) + (input[31] * weights[9][31])) + (input[32] * weights[9][32])) + (input[33] * weights[9][33])) + (input[34] * weights[9][34])) + (input[35] * weights[9][35])) / 10000) + biases[9])
68
+
    let weighted_sum11 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[10][0]) + (input[1] * weights[10][1])) + (input[2] * weights[10][2])) + (input[3] * weights[10][3])) + (input[4] * weights[10][4])) + (input[5] * weights[10][5])) + (input[6] * weights[10][6])) + (input[7] * weights[10][7])) + (input[8] * weights[10][8])) + (input[9] * weights[10][9])) + (input[10] * weights[10][10])) + (input[11] * weights[10][11])) + (input[12] * weights[10][12])) + (input[13] * weights[10][13])) + (input[14] * weights[10][14])) + (input[15] * weights[10][15])) + (input[16] * weights[10][16])) + (input[17] * weights[10][17])) + (input[18] * weights[10][18])) + (input[19] * weights[10][19])) + (input[20] * weights[10][20])) + (input[21] * weights[10][21])) + (input[22] * weights[10][22])) + (input[23] * weights[10][23])) + (input[24] * weights[10][24])) + (input[25] * weights[10][25])) + (input[26] * weights[10][26])) + (input[27] * weights[10][27])) + (input[28] * weights[10][28])) + (input[29] * weights[10][29])) + (input[30] * weights[10][30])) + (input[31] * weights[10][31])) + (input[32] * weights[10][32])) + (input[33] * weights[10][33])) + (input[34] * weights[10][34])) + (input[35] * weights[10][35])) / 10000) + biases[10])
69
+
    let weighted_sum12 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[11][0]) + (input[1] * weights[11][1])) + (input[2] * weights[11][2])) + (input[3] * weights[11][3])) + (input[4] * weights[11][4])) + (input[5] * weights[11][5])) + (input[6] * weights[11][6])) + (input[7] * weights[11][7])) + (input[8] * weights[11][8])) + (input[9] * weights[11][9])) + (input[10] * weights[11][10])) + (input[11] * weights[11][11])) + (input[12] * weights[11][12])) + (input[13] * weights[11][13])) + (input[14] * weights[11][14])) + (input[15] * weights[11][15])) + (input[16] * weights[11][16])) + (input[17] * weights[11][17])) + (input[18] * weights[11][18])) + (input[19] * weights[11][19])) + (input[20] * weights[11][20])) + (input[21] * weights[11][21])) + (input[22] * weights[11][22])) + (input[23] * weights[11][23])) + (input[24] * weights[11][24])) + (input[25] * weights[11][25])) + (input[26] * weights[11][26])) + (input[27] * weights[11][27])) + (input[28] * weights[11][28])) + (input[29] * weights[11][29])) + (input[30] * weights[11][30])) + (input[31] * weights[11][31])) + (input[32] * weights[11][32])) + (input[33] * weights[11][33])) + (input[34] * weights[11][34])) + (input[35] * weights[11][35])) / 10000) + biases[11])
70
+
    let weighted_sum13 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[12][0]) + (input[1] * weights[12][1])) + (input[2] * weights[12][2])) + (input[3] * weights[12][3])) + (input[4] * weights[12][4])) + (input[5] * weights[12][5])) + (input[6] * weights[12][6])) + (input[7] * weights[12][7])) + (input[8] * weights[12][8])) + (input[9] * weights[12][9])) + (input[10] * weights[12][10])) + (input[11] * weights[12][11])) + (input[12] * weights[12][12])) + (input[13] * weights[12][13])) + (input[14] * weights[12][14])) + (input[15] * weights[12][15])) + (input[16] * weights[12][16])) + (input[17] * weights[12][17])) + (input[18] * weights[12][18])) + (input[19] * weights[12][19])) + (input[20] * weights[12][20])) + (input[21] * weights[12][21])) + (input[22] * weights[12][22])) + (input[23] * weights[12][23])) + (input[24] * weights[12][24])) + (input[25] * weights[12][25])) + (input[26] * weights[12][26])) + (input[27] * weights[12][27])) + (input[28] * weights[12][28])) + (input[29] * weights[12][29])) + (input[30] * weights[12][30])) + (input[31] * weights[12][31])) + (input[32] * weights[12][32])) + (input[33] * weights[12][33])) + (input[34] * weights[12][34])) + (input[35] * weights[12][35])) / 10000) + biases[12])
71
+
    let weighted_sum14 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[13][0]) + (input[1] * weights[13][1])) + (input[2] * weights[13][2])) + (input[3] * weights[13][3])) + (input[4] * weights[13][4])) + (input[5] * weights[13][5])) + (input[6] * weights[13][6])) + (input[7] * weights[13][7])) + (input[8] * weights[13][8])) + (input[9] * weights[13][9])) + (input[10] * weights[13][10])) + (input[11] * weights[13][11])) + (input[12] * weights[13][12])) + (input[13] * weights[13][13])) + (input[14] * weights[13][14])) + (input[15] * weights[13][15])) + (input[16] * weights[13][16])) + (input[17] * weights[13][17])) + (input[18] * weights[13][18])) + (input[19] * weights[13][19])) + (input[20] * weights[13][20])) + (input[21] * weights[13][21])) + (input[22] * weights[13][22])) + (input[23] * weights[13][23])) + (input[24] * weights[13][24])) + (input[25] * weights[13][25])) + (input[26] * weights[13][26])) + (input[27] * weights[13][27])) + (input[28] * weights[13][28])) + (input[29] * weights[13][29])) + (input[30] * weights[13][30])) + (input[31] * weights[13][31])) + (input[32] * weights[13][32])) + (input[33] * weights[13][33])) + (input[34] * weights[13][34])) + (input[35] * weights[13][35])) / 10000) + biases[13])
72
+
    let weighted_sum15 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[14][0]) + (input[1] * weights[14][1])) + (input[2] * weights[14][2])) + (input[3] * weights[14][3])) + (input[4] * weights[14][4])) + (input[5] * weights[14][5])) + (input[6] * weights[14][6])) + (input[7] * weights[14][7])) + (input[8] * weights[14][8])) + (input[9] * weights[14][9])) + (input[10] * weights[14][10])) + (input[11] * weights[14][11])) + (input[12] * weights[14][12])) + (input[13] * weights[14][13])) + (input[14] * weights[14][14])) + (input[15] * weights[14][15])) + (input[16] * weights[14][16])) + (input[17] * weights[14][17])) + (input[18] * weights[14][18])) + (input[19] * weights[14][19])) + (input[20] * weights[14][20])) + (input[21] * weights[14][21])) + (input[22] * weights[14][22])) + (input[23] * weights[14][23])) + (input[24] * weights[14][24])) + (input[25] * weights[14][25])) + (input[26] * weights[14][26])) + (input[27] * weights[14][27])) + (input[28] * weights[14][28])) + (input[29] * weights[14][29])) + (input[30] * weights[14][30])) + (input[31] * weights[14][31])) + (input[32] * weights[14][32])) + (input[33] * weights[14][33])) + (input[34] * weights[14][34])) + (input[35] * weights[14][35])) / 10000) + biases[14])
73
+
    let weighted_sum16 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[15][0]) + (input[1] * weights[15][1])) + (input[2] * weights[15][2])) + (input[3] * weights[15][3])) + (input[4] * weights[15][4])) + (input[5] * weights[15][5])) + (input[6] * weights[15][6])) + (input[7] * weights[15][7])) + (input[8] * weights[15][8])) + (input[9] * weights[15][9])) + (input[10] * weights[15][10])) + (input[11] * weights[15][11])) + (input[12] * weights[15][12])) + (input[13] * weights[15][13])) + (input[14] * weights[15][14])) + (input[15] * weights[15][15])) + (input[16] * weights[15][16])) + (input[17] * weights[15][17])) + (input[18] * weights[15][18])) + (input[19] * weights[15][19])) + (input[20] * weights[15][20])) + (input[21] * weights[15][21])) + (input[22] * weights[15][22])) + (input[23] * weights[15][23])) + (input[24] * weights[15][24])) + (input[25] * weights[15][25])) + (input[26] * weights[15][26])) + (input[27] * weights[15][27])) + (input[28] * weights[15][28])) + (input[29] * weights[15][29])) + (input[30] * weights[15][30])) + (input[31] * weights[15][31])) + (input[32] * weights[15][32])) + (input[33] * weights[15][33])) + (input[34] * weights[15][34])) + (input[35] * weights[15][35])) / 10000) + biases[15])
74
+
    let weighted_sum17 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[16][0]) + (input[1] * weights[16][1])) + (input[2] * weights[16][2])) + (input[3] * weights[16][3])) + (input[4] * weights[16][4])) + (input[5] * weights[16][5])) + (input[6] * weights[16][6])) + (input[7] * weights[16][7])) + (input[8] * weights[16][8])) + (input[9] * weights[16][9])) + (input[10] * weights[16][10])) + (input[11] * weights[16][11])) + (input[12] * weights[16][12])) + (input[13] * weights[16][13])) + (input[14] * weights[16][14])) + (input[15] * weights[16][15])) + (input[16] * weights[16][16])) + (input[17] * weights[16][17])) + (input[18] * weights[16][18])) + (input[19] * weights[16][19])) + (input[20] * weights[16][20])) + (input[21] * weights[16][21])) + (input[22] * weights[16][22])) + (input[23] * weights[16][23])) + (input[24] * weights[16][24])) + (input[25] * weights[16][25])) + (input[26] * weights[16][26])) + (input[27] * weights[16][27])) + (input[28] * weights[16][28])) + (input[29] * weights[16][29])) + (input[30] * weights[16][30])) + (input[31] * weights[16][31])) + (input[32] * weights[16][32])) + (input[33] * weights[16][33])) + (input[34] * weights[16][34])) + (input[35] * weights[16][35])) / 10000) + biases[16])
75
+
    let weighted_sum18 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[17][0]) + (input[1] * weights[17][1])) + (input[2] * weights[17][2])) + (input[3] * weights[17][3])) + (input[4] * weights[17][4])) + (input[5] * weights[17][5])) + (input[6] * weights[17][6])) + (input[7] * weights[17][7])) + (input[8] * weights[17][8])) + (input[9] * weights[17][9])) + (input[10] * weights[17][10])) + (input[11] * weights[17][11])) + (input[12] * weights[17][12])) + (input[13] * weights[17][13])) + (input[14] * weights[17][14])) + (input[15] * weights[17][15])) + (input[16] * weights[17][16])) + (input[17] * weights[17][17])) + (input[18] * weights[17][18])) + (input[19] * weights[17][19])) + (input[20] * weights[17][20])) + (input[21] * weights[17][21])) + (input[22] * weights[17][22])) + (input[23] * weights[17][23])) + (input[24] * weights[17][24])) + (input[25] * weights[17][25])) + (input[26] * weights[17][26])) + (input[27] * weights[17][27])) + (input[28] * weights[17][28])) + (input[29] * weights[17][29])) + (input[30] * weights[17][30])) + (input[31] * weights[17][31])) + (input[32] * weights[17][32])) + (input[33] * weights[17][33])) + (input[34] * weights[17][34])) + (input[35] * weights[17][35])) / 10000) + biases[17])
76
+
    let weighted_sum19 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[18][0]) + (input[1] * weights[18][1])) + (input[2] * weights[18][2])) + (input[3] * weights[18][3])) + (input[4] * weights[18][4])) + (input[5] * weights[18][5])) + (input[6] * weights[18][6])) + (input[7] * weights[18][7])) + (input[8] * weights[18][8])) + (input[9] * weights[18][9])) + (input[10] * weights[18][10])) + (input[11] * weights[18][11])) + (input[12] * weights[18][12])) + (input[13] * weights[18][13])) + (input[14] * weights[18][14])) + (input[15] * weights[18][15])) + (input[16] * weights[18][16])) + (input[17] * weights[18][17])) + (input[18] * weights[18][18])) + (input[19] * weights[18][19])) + (input[20] * weights[18][20])) + (input[21] * weights[18][21])) + (input[22] * weights[18][22])) + (input[23] * weights[18][23])) + (input[24] * weights[18][24])) + (input[25] * weights[18][25])) + (input[26] * weights[18][26])) + (input[27] * weights[18][27])) + (input[28] * weights[18][28])) + (input[29] * weights[18][29])) + (input[30] * weights[18][30])) + (input[31] * weights[18][31])) + (input[32] * weights[18][32])) + (input[33] * weights[18][33])) + (input[34] * weights[18][34])) + (input[35] * weights[18][35])) / 10000) + biases[18])
77
+
    let weighted_sum20 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[19][0]) + (input[1] * weights[19][1])) + (input[2] * weights[19][2])) + (input[3] * weights[19][3])) + (input[4] * weights[19][4])) + (input[5] * weights[19][5])) + (input[6] * weights[19][6])) + (input[7] * weights[19][7])) + (input[8] * weights[19][8])) + (input[9] * weights[19][9])) + (input[10] * weights[19][10])) + (input[11] * weights[19][11])) + (input[12] * weights[19][12])) + (input[13] * weights[19][13])) + (input[14] * weights[19][14])) + (input[15] * weights[19][15])) + (input[16] * weights[19][16])) + (input[17] * weights[19][17])) + (input[18] * weights[19][18])) + (input[19] * weights[19][19])) + (input[20] * weights[19][20])) + (input[21] * weights[19][21])) + (input[22] * weights[19][22])) + (input[23] * weights[19][23])) + (input[24] * weights[19][24])) + (input[25] * weights[19][25])) + (input[26] * weights[19][26])) + (input[27] * weights[19][27])) + (input[28] * weights[19][28])) + (input[29] * weights[19][29])) + (input[30] * weights[19][30])) + (input[31] * weights[19][31])) + (input[32] * weights[19][32])) + (input[33] * weights[19][33])) + (input[34] * weights[19][34])) + (input[35] * weights[19][35])) / 10000) + biases[19])
78
+
    let weighted_sum21 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[20][0]) + (input[1] * weights[20][1])) + (input[2] * weights[20][2])) + (input[3] * weights[20][3])) + (input[4] * weights[20][4])) + (input[5] * weights[20][5])) + (input[6] * weights[20][6])) + (input[7] * weights[20][7])) + (input[8] * weights[20][8])) + (input[9] * weights[20][9])) + (input[10] * weights[20][10])) + (input[11] * weights[20][11])) + (input[12] * weights[20][12])) + (input[13] * weights[20][13])) + (input[14] * weights[20][14])) + (input[15] * weights[20][15])) + (input[16] * weights[20][16])) + (input[17] * weights[20][17])) + (input[18] * weights[20][18])) + (input[19] * weights[20][19])) + (input[20] * weights[20][20])) + (input[21] * weights[20][21])) + (input[22] * weights[20][22])) + (input[23] * weights[20][23])) + (input[24] * weights[20][24])) + (input[25] * weights[20][25])) + (input[26] * weights[20][26])) + (input[27] * weights[20][27])) + (input[28] * weights[20][28])) + (input[29] * weights[20][29])) + (input[30] * weights[20][30])) + (input[31] * weights[20][31])) + (input[32] * weights[20][32])) + (input[33] * weights[20][33])) + (input[34] * weights[20][34])) + (input[35] * weights[20][35])) / 10000) + biases[20])
79
+
    let weighted_sum22 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[21][0]) + (input[1] * weights[21][1])) + (input[2] * weights[21][2])) + (input[3] * weights[21][3])) + (input[4] * weights[21][4])) + (input[5] * weights[21][5])) + (input[6] * weights[21][6])) + (input[7] * weights[21][7])) + (input[8] * weights[21][8])) + (input[9] * weights[21][9])) + (input[10] * weights[21][10])) + (input[11] * weights[21][11])) + (input[12] * weights[21][12])) + (input[13] * weights[21][13])) + (input[14] * weights[21][14])) + (input[15] * weights[21][15])) + (input[16] * weights[21][16])) + (input[17] * weights[21][17])) + (input[18] * weights[21][18])) + (input[19] * weights[21][19])) + (input[20] * weights[21][20])) + (input[21] * weights[21][21])) + (input[22] * weights[21][22])) + (input[23] * weights[21][23])) + (input[24] * weights[21][24])) + (input[25] * weights[21][25])) + (input[26] * weights[21][26])) + (input[27] * weights[21][27])) + (input[28] * weights[21][28])) + (input[29] * weights[21][29])) + (input[30] * weights[21][30])) + (input[31] * weights[21][31])) + (input[32] * weights[21][32])) + (input[33] * weights[21][33])) + (input[34] * weights[21][34])) + (input[35] * weights[21][35])) / 10000) + biases[21])
80
+
    let weighted_sum23 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[22][0]) + (input[1] * weights[22][1])) + (input[2] * weights[22][2])) + (input[3] * weights[22][3])) + (input[4] * weights[22][4])) + (input[5] * weights[22][5])) + (input[6] * weights[22][6])) + (input[7] * weights[22][7])) + (input[8] * weights[22][8])) + (input[9] * weights[22][9])) + (input[10] * weights[22][10])) + (input[11] * weights[22][11])) + (input[12] * weights[22][12])) + (input[13] * weights[22][13])) + (input[14] * weights[22][14])) + (input[15] * weights[22][15])) + (input[16] * weights[22][16])) + (input[17] * weights[22][17])) + (input[18] * weights[22][18])) + (input[19] * weights[22][19])) + (input[20] * weights[22][20])) + (input[21] * weights[22][21])) + (input[22] * weights[22][22])) + (input[23] * weights[22][23])) + (input[24] * weights[22][24])) + (input[25] * weights[22][25])) + (input[26] * weights[22][26])) + (input[27] * weights[22][27])) + (input[28] * weights[22][28])) + (input[29] * weights[22][29])) + (input[30] * weights[22][30])) + (input[31] * weights[22][31])) + (input[32] * weights[22][32])) + (input[33] * weights[22][33])) + (input[34] * weights[22][34])) + (input[35] * weights[22][35])) / 10000) + biases[22])
81
+
    let weighted_sum24 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[23][0]) + (input[1] * weights[23][1])) + (input[2] * weights[23][2])) + (input[3] * weights[23][3])) + (input[4] * weights[23][4])) + (input[5] * weights[23][5])) + (input[6] * weights[23][6])) + (input[7] * weights[23][7])) + (input[8] * weights[23][8])) + (input[9] * weights[23][9])) + (input[10] * weights[23][10])) + (input[11] * weights[23][11])) + (input[12] * weights[23][12])) + (input[13] * weights[23][13])) + (input[14] * weights[23][14])) + (input[15] * weights[23][15])) + (input[16] * weights[23][16])) + (input[17] * weights[23][17])) + (input[18] * weights[23][18])) + (input[19] * weights[23][19])) + (input[20] * weights[23][20])) + (input[21] * weights[23][21])) + (input[22] * weights[23][22])) + (input[23] * weights[23][23])) + (input[24] * weights[23][24])) + (input[25] * weights[23][25])) + (input[26] * weights[23][26])) + (input[27] * weights[23][27])) + (input[28] * weights[23][28])) + (input[29] * weights[23][29])) + (input[30] * weights[23][30])) + (input[31] * weights[23][31])) + (input[32] * weights[23][32])) + (input[33] * weights[23][33])) + (input[34] * weights[23][34])) + (input[35] * weights[23][35])) / 10000) + biases[23])
82
+
    let weighted_sum25 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[24][0]) + (input[1] * weights[24][1])) + (input[2] * weights[24][2])) + (input[3] * weights[24][3])) + (input[4] * weights[24][4])) + (input[5] * weights[24][5])) + (input[6] * weights[24][6])) + (input[7] * weights[24][7])) + (input[8] * weights[24][8])) + (input[9] * weights[24][9])) + (input[10] * weights[24][10])) + (input[11] * weights[24][11])) + (input[12] * weights[24][12])) + (input[13] * weights[24][13])) + (input[14] * weights[24][14])) + (input[15] * weights[24][15])) + (input[16] * weights[24][16])) + (input[17] * weights[24][17])) + (input[18] * weights[24][18])) + (input[19] * weights[24][19])) + (input[20] * weights[24][20])) + (input[21] * weights[24][21])) + (input[22] * weights[24][22])) + (input[23] * weights[24][23])) + (input[24] * weights[24][24])) + (input[25] * weights[24][25])) + (input[26] * weights[24][26])) + (input[27] * weights[24][27])) + (input[28] * weights[24][28])) + (input[29] * weights[24][29])) + (input[30] * weights[24][30])) + (input[31] * weights[24][31])) + (input[32] * weights[24][32])) + (input[33] * weights[24][33])) + (input[34] * weights[24][34])) + (input[35] * weights[24][35])) / 10000) + biases[24])
83
+
    let weighted_sum26 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[25][0]) + (input[1] * weights[25][1])) + (input[2] * weights[25][2])) + (input[3] * weights[25][3])) + (input[4] * weights[25][4])) + (input[5] * weights[25][5])) + (input[6] * weights[25][6])) + (input[7] * weights[25][7])) + (input[8] * weights[25][8])) + (input[9] * weights[25][9])) + (input[10] * weights[25][10])) + (input[11] * weights[25][11])) + (input[12] * weights[25][12])) + (input[13] * weights[25][13])) + (input[14] * weights[25][14])) + (input[15] * weights[25][15])) + (input[16] * weights[25][16])) + (input[17] * weights[25][17])) + (input[18] * weights[25][18])) + (input[19] * weights[25][19])) + (input[20] * weights[25][20])) + (input[21] * weights[25][21])) + (input[22] * weights[25][22])) + (input[23] * weights[25][23])) + (input[24] * weights[25][24])) + (input[25] * weights[25][25])) + (input[26] * weights[25][26])) + (input[27] * weights[25][27])) + (input[28] * weights[25][28])) + (input[29] * weights[25][29])) + (input[30] * weights[25][30])) + (input[31] * weights[25][31])) + (input[32] * weights[25][32])) + (input[33] * weights[25][33])) + (input[34] * weights[25][34])) + (input[35] * weights[25][35])) / 10000) + biases[25])
84
+
    let weighted_sum27 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[26][0]) + (input[1] * weights[26][1])) + (input[2] * weights[26][2])) + (input[3] * weights[26][3])) + (input[4] * weights[26][4])) + (input[5] * weights[26][5])) + (input[6] * weights[26][6])) + (input[7] * weights[26][7])) + (input[8] * weights[26][8])) + (input[9] * weights[26][9])) + (input[10] * weights[26][10])) + (input[11] * weights[26][11])) + (input[12] * weights[26][12])) + (input[13] * weights[26][13])) + (input[14] * weights[26][14])) + (input[15] * weights[26][15])) + (input[16] * weights[26][16])) + (input[17] * weights[26][17])) + (input[18] * weights[26][18])) + (input[19] * weights[26][19])) + (input[20] * weights[26][20])) + (input[21] * weights[26][21])) + (input[22] * weights[26][22])) + (input[23] * weights[26][23])) + (input[24] * weights[26][24])) + (input[25] * weights[26][25])) + (input[26] * weights[26][26])) + (input[27] * weights[26][27])) + (input[28] * weights[26][28])) + (input[29] * weights[26][29])) + (input[30] * weights[26][30])) + (input[31] * weights[26][31])) + (input[32] * weights[26][32])) + (input[33] * weights[26][33])) + (input[34] * weights[26][34])) + (input[35] * weights[26][35])) / 10000) + biases[26])
85
+
    let weighted_sum28 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[27][0]) + (input[1] * weights[27][1])) + (input[2] * weights[27][2])) + (input[3] * weights[27][3])) + (input[4] * weights[27][4])) + (input[5] * weights[27][5])) + (input[6] * weights[27][6])) + (input[7] * weights[27][7])) + (input[8] * weights[27][8])) + (input[9] * weights[27][9])) + (input[10] * weights[27][10])) + (input[11] * weights[27][11])) + (input[12] * weights[27][12])) + (input[13] * weights[27][13])) + (input[14] * weights[27][14])) + (input[15] * weights[27][15])) + (input[16] * weights[27][16])) + (input[17] * weights[27][17])) + (input[18] * weights[27][18])) + (input[19] * weights[27][19])) + (input[20] * weights[27][20])) + (input[21] * weights[27][21])) + (input[22] * weights[27][22])) + (input[23] * weights[27][23])) + (input[24] * weights[27][24])) + (input[25] * weights[27][25])) + (input[26] * weights[27][26])) + (input[27] * weights[27][27])) + (input[28] * weights[27][28])) + (input[29] * weights[27][29])) + (input[30] * weights[27][30])) + (input[31] * weights[27][31])) + (input[32] * weights[27][32])) + (input[33] * weights[27][33])) + (input[34] * weights[27][34])) + (input[35] * weights[27][35])) / 10000) + biases[27])
86
+
    let weighted_sum29 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[28][0]) + (input[1] * weights[28][1])) + (input[2] * weights[28][2])) + (input[3] * weights[28][3])) + (input[4] * weights[28][4])) + (input[5] * weights[28][5])) + (input[6] * weights[28][6])) + (input[7] * weights[28][7])) + (input[8] * weights[28][8])) + (input[9] * weights[28][9])) + (input[10] * weights[28][10])) + (input[11] * weights[28][11])) + (input[12] * weights[28][12])) + (input[13] * weights[28][13])) + (input[14] * weights[28][14])) + (input[15] * weights[28][15])) + (input[16] * weights[28][16])) + (input[17] * weights[28][17])) + (input[18] * weights[28][18])) + (input[19] * weights[28][19])) + (input[20] * weights[28][20])) + (input[21] * weights[28][21])) + (input[22] * weights[28][22])) + (input[23] * weights[28][23])) + (input[24] * weights[28][24])) + (input[25] * weights[28][25])) + (input[26] * weights[28][26])) + (input[27] * weights[28][27])) + (input[28] * weights[28][28])) + (input[29] * weights[28][29])) + (input[30] * weights[28][30])) + (input[31] * weights[28][31])) + (input[32] * weights[28][32])) + (input[33] * weights[28][33])) + (input[34] * weights[28][34])) + (input[35] * weights[28][35])) / 10000) + biases[28])
87
+
    let weighted_sum30 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[29][0]) + (input[1] * weights[29][1])) + (input[2] * weights[29][2])) + (input[3] * weights[29][3])) + (input[4] * weights[29][4])) + (input[5] * weights[29][5])) + (input[6] * weights[29][6])) + (input[7] * weights[29][7])) + (input[8] * weights[29][8])) + (input[9] * weights[29][9])) + (input[10] * weights[29][10])) + (input[11] * weights[29][11])) + (input[12] * weights[29][12])) + (input[13] * weights[29][13])) + (input[14] * weights[29][14])) + (input[15] * weights[29][15])) + (input[16] * weights[29][16])) + (input[17] * weights[29][17])) + (input[18] * weights[29][18])) + (input[19] * weights[29][19])) + (input[20] * weights[29][20])) + (input[21] * weights[29][21])) + (input[22] * weights[29][22])) + (input[23] * weights[29][23])) + (input[24] * weights[29][24])) + (input[25] * weights[29][25])) + (input[26] * weights[29][26])) + (input[27] * weights[29][27])) + (input[28] * weights[29][28])) + (input[29] * weights[29][29])) + (input[30] * weights[29][30])) + (input[31] * weights[29][31])) + (input[32] * weights[29][32])) + (input[33] * weights[29][33])) + (input[34] * weights[29][34])) + (input[35] * weights[29][35])) / 10000) + biases[29])
88
+
    let weighted_sum31 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[30][0]) + (input[1] * weights[30][1])) + (input[2] * weights[30][2])) + (input[3] * weights[30][3])) + (input[4] * weights[30][4])) + (input[5] * weights[30][5])) + (input[6] * weights[30][6])) + (input[7] * weights[30][7])) + (input[8] * weights[30][8])) + (input[9] * weights[30][9])) + (input[10] * weights[30][10])) + (input[11] * weights[30][11])) + (input[12] * weights[30][12])) + (input[13] * weights[30][13])) + (input[14] * weights[30][14])) + (input[15] * weights[30][15])) + (input[16] * weights[30][16])) + (input[17] * weights[30][17])) + (input[18] * weights[30][18])) + (input[19] * weights[30][19])) + (input[20] * weights[30][20])) + (input[21] * weights[30][21])) + (input[22] * weights[30][22])) + (input[23] * weights[30][23])) + (input[24] * weights[30][24])) + (input[25] * weights[30][25])) + (input[26] * weights[30][26])) + (input[27] * weights[30][27])) + (input[28] * weights[30][28])) + (input[29] * weights[30][29])) + (input[30] * weights[30][30])) + (input[31] * weights[30][31])) + (input[32] * weights[30][32])) + (input[33] * weights[30][33])) + (input[34] * weights[30][34])) + (input[35] * weights[30][35])) / 10000) + biases[30])
89
+
    let weighted_sum32 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[31][0]) + (input[1] * weights[31][1])) + (input[2] * weights[31][2])) + (input[3] * weights[31][3])) + (input[4] * weights[31][4])) + (input[5] * weights[31][5])) + (input[6] * weights[31][6])) + (input[7] * weights[31][7])) + (input[8] * weights[31][8])) + (input[9] * weights[31][9])) + (input[10] * weights[31][10])) + (input[11] * weights[31][11])) + (input[12] * weights[31][12])) + (input[13] * weights[31][13])) + (input[14] * weights[31][14])) + (input[15] * weights[31][15])) + (input[16] * weights[31][16])) + (input[17] * weights[31][17])) + (input[18] * weights[31][18])) + (input[19] * weights[31][19])) + (input[20] * weights[31][20])) + (input[21] * weights[31][21])) + (input[22] * weights[31][22])) + (input[23] * weights[31][23])) + (input[24] * weights[31][24])) + (input[25] * weights[31][25])) + (input[26] * weights[31][26])) + (input[27] * weights[31][27])) + (input[28] * weights[31][28])) + (input[29] * weights[31][29])) + (input[30] * weights[31][30])) + (input[31] * weights[31][31])) + (input[32] * weights[31][32])) + (input[33] * weights[31][33])) + (input[34] * weights[31][34])) + (input[35] * weights[31][35])) / 10000) + biases[31])
90
+
    let weighted_sum33 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[32][0]) + (input[1] * weights[32][1])) + (input[2] * weights[32][2])) + (input[3] * weights[32][3])) + (input[4] * weights[32][4])) + (input[5] * weights[32][5])) + (input[6] * weights[32][6])) + (input[7] * weights[32][7])) + (input[8] * weights[32][8])) + (input[9] * weights[32][9])) + (input[10] * weights[32][10])) + (input[11] * weights[32][11])) + (input[12] * weights[32][12])) + (input[13] * weights[32][13])) + (input[14] * weights[32][14])) + (input[15] * weights[32][15])) + (input[16] * weights[32][16])) + (input[17] * weights[32][17])) + (input[18] * weights[32][18])) + (input[19] * weights[32][19])) + (input[20] * weights[32][20])) + (input[21] * weights[32][21])) + (input[22] * weights[32][22])) + (input[23] * weights[32][23])) + (input[24] * weights[32][24])) + (input[25] * weights[32][25])) + (input[26] * weights[32][26])) + (input[27] * weights[32][27])) + (input[28] * weights[32][28])) + (input[29] * weights[32][29])) + (input[30] * weights[32][30])) + (input[31] * weights[32][31])) + (input[32] * weights[32][32])) + (input[33] * weights[32][33])) + (input[34] * weights[32][34])) + (input[35] * weights[32][35])) / 10000) + biases[32])
91
+
    let weighted_sum34 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[33][0]) + (input[1] * weights[33][1])) + (input[2] * weights[33][2])) + (input[3] * weights[33][3])) + (input[4] * weights[33][4])) + (input[5] * weights[33][5])) + (input[6] * weights[33][6])) + (input[7] * weights[33][7])) + (input[8] * weights[33][8])) + (input[9] * weights[33][9])) + (input[10] * weights[33][10])) + (input[11] * weights[33][11])) + (input[12] * weights[33][12])) + (input[13] * weights[33][13])) + (input[14] * weights[33][14])) + (input[15] * weights[33][15])) + (input[16] * weights[33][16])) + (input[17] * weights[33][17])) + (input[18] * weights[33][18])) + (input[19] * weights[33][19])) + (input[20] * weights[33][20])) + (input[21] * weights[33][21])) + (input[22] * weights[33][22])) + (input[23] * weights[33][23])) + (input[24] * weights[33][24])) + (input[25] * weights[33][25])) + (input[26] * weights[33][26])) + (input[27] * weights[33][27])) + (input[28] * weights[33][28])) + (input[29] * weights[33][29])) + (input[30] * weights[33][30])) + (input[31] * weights[33][31])) + (input[32] * weights[33][32])) + (input[33] * weights[33][33])) + (input[34] * weights[33][34])) + (input[35] * weights[33][35])) / 10000) + biases[33])
92
+
    let weighted_sum35 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[34][0]) + (input[1] * weights[34][1])) + (input[2] * weights[34][2])) + (input[3] * weights[34][3])) + (input[4] * weights[34][4])) + (input[5] * weights[34][5])) + (input[6] * weights[34][6])) + (input[7] * weights[34][7])) + (input[8] * weights[34][8])) + (input[9] * weights[34][9])) + (input[10] * weights[34][10])) + (input[11] * weights[34][11])) + (input[12] * weights[34][12])) + (input[13] * weights[34][13])) + (input[14] * weights[34][14])) + (input[15] * weights[34][15])) + (input[16] * weights[34][16])) + (input[17] * weights[34][17])) + (input[18] * weights[34][18])) + (input[19] * weights[34][19])) + (input[20] * weights[34][20])) + (input[21] * weights[34][21])) + (input[22] * weights[34][22])) + (input[23] * weights[34][23])) + (input[24] * weights[34][24])) + (input[25] * weights[34][25])) + (input[26] * weights[34][26])) + (input[27] * weights[34][27])) + (input[28] * weights[34][28])) + (input[29] * weights[34][29])) + (input[30] * weights[34][30])) + (input[31] * weights[34][31])) + (input[32] * weights[34][32])) + (input[33] * weights[34][33])) + (input[34] * weights[34][34])) + (input[35] * weights[34][35])) / 10000) + biases[34])
93
+
    let weighted_sum36 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[35][0]) + (input[1] * weights[35][1])) + (input[2] * weights[35][2])) + (input[3] * weights[35][3])) + (input[4] * weights[35][4])) + (input[5] * weights[35][5])) + (input[6] * weights[35][6])) + (input[7] * weights[35][7])) + (input[8] * weights[35][8])) + (input[9] * weights[35][9])) + (input[10] * weights[35][10])) + (input[11] * weights[35][11])) + (input[12] * weights[35][12])) + (input[13] * weights[35][13])) + (input[14] * weights[35][14])) + (input[15] * weights[35][15])) + (input[16] * weights[35][16])) + (input[17] * weights[35][17])) + (input[18] * weights[35][18])) + (input[19] * weights[35][19])) + (input[20] * weights[35][20])) + (input[21] * weights[35][21])) + (input[22] * weights[35][22])) + (input[23] * weights[35][23])) + (input[24] * weights[35][24])) + (input[25] * weights[35][25])) + (input[26] * weights[35][26])) + (input[27] * weights[35][27])) + (input[28] * weights[35][28])) + (input[29] * weights[35][29])) + (input[30] * weights[35][30])) + (input[31] * weights[35][31])) + (input[32] * weights[35][32])) + (input[33] * weights[35][33])) + (input[34] * weights[35][34])) + (input[35] * weights[35][35])) / 10000) + biases[35])
94
+
[weighted_sum1, weighted_sum2, weighted_sum3, weighted_sum4, weighted_sum5, weighted_sum6, weighted_sum7, weighted_sum8, weighted_sum9, weighted_sum10, weighted_sum11, weighted_sum12, weighted_sum13, weighted_sum14, weighted_sum15, weighted_sum16, weighted_sum17, weighted_sum18, weighted_sum19, weighted_sum20, weighted_sum21, weighted_sum22, weighted_sum23, weighted_sum24, weighted_sum25, weighted_sum26, weighted_sum27, weighted_sum28, weighted_sum29, weighted_sum30, weighted_sum31, weighted_sum32, weighted_sum33, weighted_sum34, weighted_sum35, weighted_sum36]
22
95
 
    }
96
+
97
+
98
+
func linear_forward_3 (input,weights,biases) = {
99
+
    let weighted_sum1 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[0][0]) + (input[1] * weights[0][1])) + (input[2] * weights[0][2])) + (input[3] * weights[0][3])) + (input[4] * weights[0][4])) + (input[5] * weights[0][5])) + (input[6] * weights[0][6])) + (input[7] * weights[0][7])) + (input[8] * weights[0][8])) + (input[9] * weights[0][9])) + (input[10] * weights[0][10])) + (input[11] * weights[0][11])) + (input[12] * weights[0][12])) + (input[13] * weights[0][13])) + (input[14] * weights[0][14])) + (input[15] * weights[0][15])) + (input[16] * weights[0][16])) + (input[17] * weights[0][17])) + (input[18] * weights[0][18])) + (input[19] * weights[0][19])) + (input[20] * weights[0][20])) + (input[21] * weights[0][21])) + (input[22] * weights[0][22])) + (input[23] * weights[0][23])) + (input[24] * weights[0][24])) + (input[25] * weights[0][25])) + (input[26] * weights[0][26])) + (input[27] * weights[0][27])) + (input[28] * weights[0][28])) + (input[29] * weights[0][29])) + (input[30] * weights[0][30])) + (input[31] * weights[0][31])) + (input[32] * weights[0][32])) + (input[33] * weights[0][33])) + (input[34] * weights[0][34])) + (input[35] * weights[0][35])) / 10000) + biases[0])
100
+
    let weighted_sum2 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[1][0]) + (input[1] * weights[1][1])) + (input[2] * weights[1][2])) + (input[3] * weights[1][3])) + (input[4] * weights[1][4])) + (input[5] * weights[1][5])) + (input[6] * weights[1][6])) + (input[7] * weights[1][7])) + (input[8] * weights[1][8])) + (input[9] * weights[1][9])) + (input[10] * weights[1][10])) + (input[11] * weights[1][11])) + (input[12] * weights[1][12])) + (input[13] * weights[1][13])) + (input[14] * weights[1][14])) + (input[15] * weights[1][15])) + (input[16] * weights[1][16])) + (input[17] * weights[1][17])) + (input[18] * weights[1][18])) + (input[19] * weights[1][19])) + (input[20] * weights[1][20])) + (input[21] * weights[1][21])) + (input[22] * weights[1][22])) + (input[23] * weights[1][23])) + (input[24] * weights[1][24])) + (input[25] * weights[1][25])) + (input[26] * weights[1][26])) + (input[27] * weights[1][27])) + (input[28] * weights[1][28])) + (input[29] * weights[1][29])) + (input[30] * weights[1][30])) + (input[31] * weights[1][31])) + (input[32] * weights[1][32])) + (input[33] * weights[1][33])) + (input[34] * weights[1][34])) + (input[35] * weights[1][35])) / 10000) + biases[1])
101
+
    let weighted_sum3 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[2][0]) + (input[1] * weights[2][1])) + (input[2] * weights[2][2])) + (input[3] * weights[2][3])) + (input[4] * weights[2][4])) + (input[5] * weights[2][5])) + (input[6] * weights[2][6])) + (input[7] * weights[2][7])) + (input[8] * weights[2][8])) + (input[9] * weights[2][9])) + (input[10] * weights[2][10])) + (input[11] * weights[2][11])) + (input[12] * weights[2][12])) + (input[13] * weights[2][13])) + (input[14] * weights[2][14])) + (input[15] * weights[2][15])) + (input[16] * weights[2][16])) + (input[17] * weights[2][17])) + (input[18] * weights[2][18])) + (input[19] * weights[2][19])) + (input[20] * weights[2][20])) + (input[21] * weights[2][21])) + (input[22] * weights[2][22])) + (input[23] * weights[2][23])) + (input[24] * weights[2][24])) + (input[25] * weights[2][25])) + (input[26] * weights[2][26])) + (input[27] * weights[2][27])) + (input[28] * weights[2][28])) + (input[29] * weights[2][29])) + (input[30] * weights[2][30])) + (input[31] * weights[2][31])) + (input[32] * weights[2][32])) + (input[33] * weights[2][33])) + (input[34] * weights[2][34])) + (input[35] * weights[2][35])) / 10000) + biases[2])
102
+
    let weighted_sum4 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[3][0]) + (input[1] * weights[3][1])) + (input[2] * weights[3][2])) + (input[3] * weights[3][3])) + (input[4] * weights[3][4])) + (input[5] * weights[3][5])) + (input[6] * weights[3][6])) + (input[7] * weights[3][7])) + (input[8] * weights[3][8])) + (input[9] * weights[3][9])) + (input[10] * weights[3][10])) + (input[11] * weights[3][11])) + (input[12] * weights[3][12])) + (input[13] * weights[3][13])) + (input[14] * weights[3][14])) + (input[15] * weights[3][15])) + (input[16] * weights[3][16])) + (input[17] * weights[3][17])) + (input[18] * weights[3][18])) + (input[19] * weights[3][19])) + (input[20] * weights[3][20])) + (input[21] * weights[3][21])) + (input[22] * weights[3][22])) + (input[23] * weights[3][23])) + (input[24] * weights[3][24])) + (input[25] * weights[3][25])) + (input[26] * weights[3][26])) + (input[27] * weights[3][27])) + (input[28] * weights[3][28])) + (input[29] * weights[3][29])) + (input[30] * weights[3][30])) + (input[31] * weights[3][31])) + (input[32] * weights[3][32])) + (input[33] * weights[3][33])) + (input[34] * weights[3][34])) + (input[35] * weights[3][35])) / 10000) + biases[3])
103
+
    let weighted_sum5 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[4][0]) + (input[1] * weights[4][1])) + (input[2] * weights[4][2])) + (input[3] * weights[4][3])) + (input[4] * weights[4][4])) + (input[5] * weights[4][5])) + (input[6] * weights[4][6])) + (input[7] * weights[4][7])) + (input[8] * weights[4][8])) + (input[9] * weights[4][9])) + (input[10] * weights[4][10])) + (input[11] * weights[4][11])) + (input[12] * weights[4][12])) + (input[13] * weights[4][13])) + (input[14] * weights[4][14])) + (input[15] * weights[4][15])) + (input[16] * weights[4][16])) + (input[17] * weights[4][17])) + (input[18] * weights[4][18])) + (input[19] * weights[4][19])) + (input[20] * weights[4][20])) + (input[21] * weights[4][21])) + (input[22] * weights[4][22])) + (input[23] * weights[4][23])) + (input[24] * weights[4][24])) + (input[25] * weights[4][25])) + (input[26] * weights[4][26])) + (input[27] * weights[4][27])) + (input[28] * weights[4][28])) + (input[29] * weights[4][29])) + (input[30] * weights[4][30])) + (input[31] * weights[4][31])) + (input[32] * weights[4][32])) + (input[33] * weights[4][33])) + (input[34] * weights[4][34])) + (input[35] * weights[4][35])) / 10000) + biases[4])
104
+
    let weighted_sum6 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[5][0]) + (input[1] * weights[5][1])) + (input[2] * weights[5][2])) + (input[3] * weights[5][3])) + (input[4] * weights[5][4])) + (input[5] * weights[5][5])) + (input[6] * weights[5][6])) + (input[7] * weights[5][7])) + (input[8] * weights[5][8])) + (input[9] * weights[5][9])) + (input[10] * weights[5][10])) + (input[11] * weights[5][11])) + (input[12] * weights[5][12])) + (input[13] * weights[5][13])) + (input[14] * weights[5][14])) + (input[15] * weights[5][15])) + (input[16] * weights[5][16])) + (input[17] * weights[5][17])) + (input[18] * weights[5][18])) + (input[19] * weights[5][19])) + (input[20] * weights[5][20])) + (input[21] * weights[5][21])) + (input[22] * weights[5][22])) + (input[23] * weights[5][23])) + (input[24] * weights[5][24])) + (input[25] * weights[5][25])) + (input[26] * weights[5][26])) + (input[27] * weights[5][27])) + (input[28] * weights[5][28])) + (input[29] * weights[5][29])) + (input[30] * weights[5][30])) + (input[31] * weights[5][31])) + (input[32] * weights[5][32])) + (input[33] * weights[5][33])) + (input[34] * weights[5][34])) + (input[35] * weights[5][35])) / 10000) + biases[5])
105
+
    let weighted_sum7 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[6][0]) + (input[1] * weights[6][1])) + (input[2] * weights[6][2])) + (input[3] * weights[6][3])) + (input[4] * weights[6][4])) + (input[5] * weights[6][5])) + (input[6] * weights[6][6])) + (input[7] * weights[6][7])) + (input[8] * weights[6][8])) + (input[9] * weights[6][9])) + (input[10] * weights[6][10])) + (input[11] * weights[6][11])) + (input[12] * weights[6][12])) + (input[13] * weights[6][13])) + (input[14] * weights[6][14])) + (input[15] * weights[6][15])) + (input[16] * weights[6][16])) + (input[17] * weights[6][17])) + (input[18] * weights[6][18])) + (input[19] * weights[6][19])) + (input[20] * weights[6][20])) + (input[21] * weights[6][21])) + (input[22] * weights[6][22])) + (input[23] * weights[6][23])) + (input[24] * weights[6][24])) + (input[25] * weights[6][25])) + (input[26] * weights[6][26])) + (input[27] * weights[6][27])) + (input[28] * weights[6][28])) + (input[29] * weights[6][29])) + (input[30] * weights[6][30])) + (input[31] * weights[6][31])) + (input[32] * weights[6][32])) + (input[33] * weights[6][33])) + (input[34] * weights[6][34])) + (input[35] * weights[6][35])) / 10000) + biases[6])
106
+
    let weighted_sum8 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[7][0]) + (input[1] * weights[7][1])) + (input[2] * weights[7][2])) + (input[3] * weights[7][3])) + (input[4] * weights[7][4])) + (input[5] * weights[7][5])) + (input[6] * weights[7][6])) + (input[7] * weights[7][7])) + (input[8] * weights[7][8])) + (input[9] * weights[7][9])) + (input[10] * weights[7][10])) + (input[11] * weights[7][11])) + (input[12] * weights[7][12])) + (input[13] * weights[7][13])) + (input[14] * weights[7][14])) + (input[15] * weights[7][15])) + (input[16] * weights[7][16])) + (input[17] * weights[7][17])) + (input[18] * weights[7][18])) + (input[19] * weights[7][19])) + (input[20] * weights[7][20])) + (input[21] * weights[7][21])) + (input[22] * weights[7][22])) + (input[23] * weights[7][23])) + (input[24] * weights[7][24])) + (input[25] * weights[7][25])) + (input[26] * weights[7][26])) + (input[27] * weights[7][27])) + (input[28] * weights[7][28])) + (input[29] * weights[7][29])) + (input[30] * weights[7][30])) + (input[31] * weights[7][31])) + (input[32] * weights[7][32])) + (input[33] * weights[7][33])) + (input[34] * weights[7][34])) + (input[35] * weights[7][35])) / 10000) + biases[7])
107
+
    let weighted_sum9 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[8][0]) + (input[1] * weights[8][1])) + (input[2] * weights[8][2])) + (input[3] * weights[8][3])) + (input[4] * weights[8][4])) + (input[5] * weights[8][5])) + (input[6] * weights[8][6])) + (input[7] * weights[8][7])) + (input[8] * weights[8][8])) + (input[9] * weights[8][9])) + (input[10] * weights[8][10])) + (input[11] * weights[8][11])) + (input[12] * weights[8][12])) + (input[13] * weights[8][13])) + (input[14] * weights[8][14])) + (input[15] * weights[8][15])) + (input[16] * weights[8][16])) + (input[17] * weights[8][17])) + (input[18] * weights[8][18])) + (input[19] * weights[8][19])) + (input[20] * weights[8][20])) + (input[21] * weights[8][21])) + (input[22] * weights[8][22])) + (input[23] * weights[8][23])) + (input[24] * weights[8][24])) + (input[25] * weights[8][25])) + (input[26] * weights[8][26])) + (input[27] * weights[8][27])) + (input[28] * weights[8][28])) + (input[29] * weights[8][29])) + (input[30] * weights[8][30])) + (input[31] * weights[8][31])) + (input[32] * weights[8][32])) + (input[33] * weights[8][33])) + (input[34] * weights[8][34])) + (input[35] * weights[8][35])) / 10000) + biases[8])
108
+
[weighted_sum1, weighted_sum2, weighted_sum3, weighted_sum4, weighted_sum5, weighted_sum6, weighted_sum7, weighted_sum8, weighted_sum9]
109
+
    }
110
+
111
+
112
+
func relu (input) = if ((0 > input))
113
+
    then 0
114
+
    else input
115
+
116
+
117
+
func relu_activation (inputs,num_outputs) = if ((num_outputs == 1))
118
+
    then [relu(inputs[0])]
119
+
    else [relu(inputs[0]), relu(inputs[1]), relu(inputs[2]), relu(inputs[3]), relu(inputs[4]), relu(inputs[5]), relu(inputs[6]), relu(inputs[7]), relu(inputs[8]), relu(inputs[9]), relu(inputs[10]), relu(inputs[11]), relu(inputs[12]), relu(inputs[13]), relu(inputs[14]), relu(inputs[15]), relu(inputs[16]), relu(inputs[17]), relu(inputs[18]), relu(inputs[19]), relu(inputs[20]), relu(inputs[21]), relu(inputs[22]), relu(inputs[23]), relu(inputs[24]), relu(inputs[25]), relu(inputs[26]), relu(inputs[27]), relu(inputs[28]), relu(inputs[29]), relu(inputs[30]), relu(inputs[31]), relu(inputs[32]), relu(inputs[33]), relu(inputs[34]), relu(inputs[35])]
23
120
 
24
121
 
25
122
 
func sigmoid (input) = if ((-80000 > input))
45
142
 
46
143
 
func sigmoid_activation (inputs,num_outputs) = if ((num_outputs == 1))
47
144
 
    then [sigmoid(inputs[0])]
48
-
    else [sigmoid(inputs[0]), sigmoid(inputs[1])]
145
+
    else [sigmoid(inputs[0]), sigmoid(inputs[1]), sigmoid(inputs[2]), sigmoid(inputs[3]), sigmoid(inputs[4]), sigmoid(inputs[5]), sigmoid(inputs[6]), sigmoid(inputs[7]), sigmoid(inputs[8])]
49
146
 
50
147
 
51
148
 
@Callable(i)
52
149
 
func predict (inputs) = {
53
150
 
    let x1_scaled = (inputs[0] * 10000)
54
151
 
    let x2_scaled = (inputs[1] * 10000)
55
-
    let scaled_inputs = [x1_scaled, x2_scaled]
152
+
    let x3_scaled = (inputs[2] * 10000)
153
+
    let x4_scaled = (inputs[3] * 10000)
154
+
    let x5_scaled = (inputs[4] * 10000)
155
+
    let x6_scaled = (inputs[5] * 10000)
156
+
    let x7_scaled = (inputs[6] * 10000)
157
+
    let x8_scaled = (inputs[7] * 10000)
158
+
    let x9_scaled = (inputs[8] * 10000)
159
+
    let scaled_inputs = [x1_scaled, x2_scaled, x3_scaled, x4_scaled, x5_scaled, x6_scaled, x7_scaled, x8_scaled, x9_scaled]
56
160
 
    let z1 = linear_forward_1(scaled_inputs, weights_layer_1, biases_layer_1)
57
-
    let a1 = sigmoid_activation(z1, 2)
161
+
    let a1 = relu_activation(z1, 36)
58
162
 
    let z2 = linear_forward_2(a1, weights_layer_2, biases_layer_2)
59
-
    let a2 = sigmoid_activation(z2, 1)
60
-
    let result0 = a2[0]
163
+
    let a2 = relu_activation(z2, 36)
164
+
    let z3 = linear_forward_3(a2, weights_layer_3, biases_layer_3)
165
+
    let a3 = sigmoid_activation(z3, 9)
166
+
    let result0 = a3[0]
167
+
    let result1 = a3[1]
168
+
    let result2 = a3[2]
169
+
    let result3 = a3[3]
170
+
    let result4 = a3[4]
171
+
    let result5 = a3[5]
172
+
    let result6 = a3[6]
173
+
    let result7 = a3[7]
174
+
    let result8 = a3[8]
61
175
 
    let debug_outputs = nil
62
-
    ([IntegerEntry("move_prediction_0", result0)] ++ debug_outputs)
176
+
    ([IntegerEntry("move_prediction_0", result0), IntegerEntry("move_prediction_1", result1), IntegerEntry("move_prediction_2", result2), IntegerEntry("move_prediction_3", result3), IntegerEntry("move_prediction_4", result4), IntegerEntry("move_prediction_5", result5), IntegerEntry("move_prediction_6", result6), IntegerEntry("move_prediction_7", result7), IntegerEntry("move_prediction_8", result8)] ++ debug_outputs)
63
177
 
    }
64
178
 
65
179
 

Full: 
Old
New
Differences
1
1
 
{-# STDLIB_VERSION 7 #-}
2
2
 
{-# SCRIPT_TYPE ACCOUNT #-}
3
3
 
{-# CONTENT_TYPE DAPP #-}
4
-
let weights_layer_1 = [[60049, 60073], [41419, 41425]]
4
+
let weights_layer_1 = [[564, 1539, -23179, 855, 294, 992, 5476, 6462, 5706], [1917, -323, 1527, 663, 9898, -1842, -2539, -5642, -8671], [-6042, -3786, 10256, -3162, 10158, -3899, 9125, -4040, -7722], [-1352, -922, -1104, 509, -34, 490, 5265, -12258, 9412], [-6464, -4986, 8360, -4702, -6679, 8185, -7182, -4902, 6565], [2731, 2632, -1565, 2507, 4954, 1299, -21654, 2803, 2973], [-6119, -3811, -2055, -3351, 14558, 532, -673, 1631, 3778], [6040, -838, -2110, -3854, 5085, -7445, -5852, -2461, 2966], [-4305, -3403, -2766, -3236, -4289, -1690, -4486, 21035, -4907], [-2672, -2470, -3494, -4088, -3877, -3084, 19487, -2652, -3706], [2412, 1642, 1964, -18620, -1462, 1182, -3050, -1253, 670], [19242, -2063, -4350, -3449, -5421, -4376, -4500, -3187, -4753], [-423, -2939, 14505, 251, -3736, -2437, -801, -2938, -3626], [-3949, 2718, -4336, -616, 4477, -317, -3449, 2738, -3683], [222, -14478, 407, -266, -8125, 2276, -770, 7233, 2045], [-4305, -4933, -4848, 2460, -2529, 9859, 2373, 674, 4044], [-5309, 10785, -5094, -3997, 10031, -4763, -5325, 10792, -5739], [-21947, 2385, 1861, 1808, 663, 1519, 2530, 2931, 4297], [-806, -3733, -6338, 1896, -14255, -3034, 5184, 5033, 260], [5592, 2940, 506, 5670, 741, 3691, 3501, 1949, -21185], [-1364, 1321, 274, -8135, -818, 998, -35, 945, -1949], [-129, -755, 2327, -4149, -13780, -2145, 121, -4248, 1181], [8429, 9219, 7419, -3778, -8656, -4177, -8727, -6674, -8870], [-2176, -3671, -12291, 5772, 5707, 176, 5703, -6078, -4386], [-1839, 2272, -1238, 4154, -12551, 4606, -6216, 21, 1667], [358, -5103, -3725, 10010, -2287, -1696, -2364, -2487, -766], [-1863, 20045, -3277, -1732, -4059, -1788, -1120, -914, -1592], [1803, 4262, 1396, 4433, 3261, -22890, 2005, 4044, 3658], [-3681, 678, 1429, 4937, -7337, 4294, 7123, 1740, -6057], [4997, 4766, -744, 7316, 4186, 2866, 5265, -16537, 1584], [-2515, -1614, -3018, -2442, -5076, -3150, -5879, -333, 17206], [-2745, -1716, -2322, -4940, -4712, 21290, -3686, -4457, -4159], [-3365, -1416, -1958, -14770, 53, -2617, 5627, 6320, 7960], [5355, 1147, 1384, -915, 3172, -2462, 947, -13150, 2117], [7412, -19148, -65, 2697, 6621, 1645, 4059, 2603, 3924], [-6636, -2689, -3386, 9831, 8304, 10028, -4819, -3035, -6716]]
5
5
 
6
-
let biases_layer_1 = [-25905, -63563]
6
+
let biases_layer_1 = [-6632, -548, -12850, -4518, -9916, -4022, -668, -4817, -2828, -3640, -4752, -4800, 151, 7959, -5093, -564, -11437, -6961, -4759, -7890, 8094, -1435, -10481, -3502, -2916, 5716, -2811, -6803, -2598, -2480, -3309, -5554, -7707, -4774, -3217, -11177]
7
7
 
8
-
let weights_layer_2 = [[83296, -89714]]
8
+
let weights_layer_2 = [[-2096, -1305, 5422, 3073, 3504, 5502, -2672, 5596, 1887, 10049, -1150, 5652, -1567, 363, -2745, 2825, 6455, 6153, -1234, -3728, 953, -3504, 4523, -1796, 3711, -266, -2127, 12373, -137, -726, -365, 12859, 232, 2427, 1257, 6005], [-106, -2166, -4757, 110, -2887, -1229, 431, 1116, 10520, -3279, -4476, 5340, 6974, 5935, -5474, 2669, -3732, -1383, -2237, -6304, 8181, 3944, -3330, 1628, -770, 3266, -10111, 6225, -245, 5486, -3833, 9944, -4287, 3038, -5067, -4065], [2510, 1181, -2623, 5033, -4689, -7522, 982, -1767, 1762, 614, 629, 9461, 892, 1024, -448, -2775, -1788, -7064, -479, 1173, -394, 5090, -4726, 4378, -468, -417, 498, 784, -2916, 678, 4935, 1103, -3363, -2438, 470, 1189], [-2360, 3603, -596, 747, -1269, 4471, -11635, 913, -3798, -3722, -4302, -1479, 3493, -257, 1495, 3177, 393, 559, -1514, 332, -4115, -401, 740, -8928, 6055, 3887, -1232, -7560, 3886, 3661, -6356, 2298, -5153, -153, -1423, -1253], [418, -74, -194, -537, 664, -712, -321, -1606, -606, 1231, 1318, -492, -1264, -1238, -1042, -678, -1643, -1346, -1354, -1211, -813, -76, -1336, -1019, 219, -1526, -689, -954, 51, -158, -427, 687, -256, -1220, -1567, 368], [-173, 241, 1681, -3579, -397, -2941, 5489, 3201, 4842, -4938, 1533, -3574, -1694, -4417, 1214, -103, -6495, -1498, 6381, 1009, 2520, -2869, 827, 1633, 3153, 2898, 6345, 12259, 319, 6083, -1585, 15327, 1697, 5367, 1243, -2953], [107, 145, -2188, 403, -911, 1298, -2149, 2150, -2290, -2026, -3789, -6824, 203, 915, 2349, 2191, -2096, 5985, -2224, 3649, -14167, -5157, -1335, -1897, 7794, 19238, -848, 10763, 3764, 3190, -5095, -8904, -5128, -1621, -1361, 1856], [3341, -1613, -2545, -1826, 4012, 5400, -2311, 722, -916, -830, -563, -2565, 1867, 4541, 6163, -4621, -2253, -1077, -1949, -2230, 356, 560, -1588, -390, -596, -1143, 19868, -1873, -410, 4803, -2544, 239, 977, 168, 8759, 4005], [-9858, 3688, 4177, 290, 520, -2893, -3909, 2431, 4223, 2125, 6224, 428, 73, 153, -2108, -5298, -99, -2885, 201, 12336, -1906, 2079, 4876, -589, 2448, -1349, -379, 7642, -1544, -3603, 2004, 2510, -1904, 2209, -1215, -117], [2281, -1072, 3996, -2334, 4235, -5507, -5850, -1218, 1095, -2154, -642, -2979, 9930, -3455, 1385, -4333, 863, 9045, -201, 2592, 2021, 891, -640, -7210, 4180, 377, 210, 2567, -3675, 459, -1476, 985, 2661, 1220, 562, 2375], [4832, -1143, -237, 1941, -4376, -5830, -387, -4099, -756, 12251, -3078, -3504, -2443, 4335, -4996, 1416, 206, 505, -4118, -159, -155, 2033, -5753, 4897, -732, -721, -853, -847, 5195, -1607, -1054, -2430, -1948, -2840, 1089, -6073], [17104, 2700, 2898, 1350, -2431, 1451, 150, -4051, -4498, -5733, 206, 3039, -4419, -3286, -4724, 835, 3310, 4881, 4011, 1028, -2818, -4128, -4579, 4811, -1824, 3096, 834, -6460, -561, 1406, 1344, 3584, 3963, -7074, -10575, 1183], [2078, 1015, 5473, -3486, -2176, -7196, -3221, 2047, 235, -2161, 7465, 17932, 1139, 16, 555, -4492, 780, 16413, 118, -3092, 1895, -611, -4913, -3975, 1483, 1696, 673, 2002, 1675, -85, -2287, 4063, 5576, 4087, 4041, -1404], [-5883, -5918, -837, 2697, -40, 350, -2524, 3499, 6892, 917, 2915, 518, 2635, -10878, -2696, 1323, -2544, -2772, 11436, -1107, -192, 11603, 5059, -4973, 12019, -99, 4420, -4674, 4064, -1382, 837, 3351, -5541, 614, -6637, -475], [-2295, 3567, 2535, 3126, 3960, 2910, -3538, -679, -2642, 4519, -3754, 14892, 476, 2866, 4168, -3821, 4623, 10654, 6543, 7306, -1025, 3456, 688, 318, -4355, 1513, 3300, -1805, -4555, -2618, 4840, 2324, 432, -3001, 4289, 6549], [3931, -807, -1791, 970, 6028, 6852, 285, 651, 2335, 7948, -6, 3726, 6668, -268, -4170, -1777, 4997, 1468, -1039, -424, -35, -267, 1643, -2070, -1533, 1219, -949, -411, 3380, -2783, 982, -3889, -1680, 1290, -3117, 5231], [-1577, -3050, -2093, 1381, -783, 3137, 6044, -1401, 381, -871, -814, -4675, -610, -1684, -382, 1224, -2221, 10105, -4910, -3667, 527, -6593, -1908, 1695, -3573, -1310, 2604, 2930, -5818, 1367, 1013, -1488, 555, -1199, -348, -236], [3335, -3891, -4146, 662, -5076, -5571, -1160, -1221, -2333, 2318, -6249, -2111, 1009, 2932, 2470, 2442, -3146, -6213, 4366, 1164, -574, 1966, -7984, -1998, -716, 3432, 4135, 4532, 6444, -3933, -2834, -866, -3434, -2958, 5587, -1600], [-838, 253, -859, -1222, 4350, -92, 607, 4011, 2234, -387, 4093, -1213, 14403, -1620, -1193, -4969, -4509, 2447, -2574, -1982, 1761, 499, -649, -6015, 942, -2154, -1608, 2990, -3994, -1568, 56, -4305, -2286, 4976, 813, 1030], [3066, 5948, 4074, -1060, 5667, -4937, 5734, 423, -2048, 2584, 697, 420, -825, -3885, 4486, -1865, 7827, 3486, 9713, -5074, -1460, -186, 9088, -2956, 4742, 310, -1012, 3708, -733, -1804, 1802, 223, 4528, 67, 1969, 2272], [4582, -2931, -1982, -5158, -1475, 444, 1703, 2309, 18746, 1479, 745, -216, -5152, -3864, -728, -4970, 1313, -3858, 5493, 4351, -1562, 49, -54, 1383, 1103, -282, -751, 4091, 1670, -6141, -1063, -4440, 377, -6219, 2215, -2458], [10033, -3350, -908, 3179, 3946, 4611, 107, 125, -5169, -971, 2597, -3581, 6468, -1559, 2573, -1565, 5836, -7819, 4255, 559, 2011, -2218, 3906, 1816, -1021, 3104, 3707, 2128, 3470, 265, -1217, -1012, 5130, 1898, 9447, 1013], [658, -1685, -1712, -790, -2307, 705, 5439, 580, 1744, -373, -2189, 1641, 18, -252, -2386, 2081, -1499, 2503, 1551, -4418, -1009, 3080, -446, -335, 2319, -1773, 2688, 3668, -2440, 1957, 3894, 1961, -1972, -623, -3800, -365], [-1669, 10737, 672, 964, 3822, 1905, 11737, 1648, 275, -3024, -3696, -1608, -2571, 6669, 139, -1584, -913, -2322, -6145, 702, 1485, -8048, -1778, 7825, -8300, -3090, -3025, 4640, -5757, 4231, -1531, -2860, 1907, 5703, -723, -797], [-2633, -5119, 8627, 2168, -890, 3944, -2776, 3651, 5205, 1529, 3780, -3753, -1904, -904, 1457, 4857, -746, -2564, -8256, -3110, 3267, -4825, 1364, 824, 1032, -2630, 14493, 2457, -1367, 1206, 3163, 5313, 1431, 4222, 6849, 6444], [-4291, 1097, -844, 2177, 3425, 14896, 4484, 7910, 5684, 21400, 3932, -705, 2131, -1274, 548, 1000, -2338, -2291, -3747, -6956, 73, -1122, 1148, 3160, 3379, -1019, -185, -2722, 4599, 3741, 879, -1954, -3506, 2368, 1223, 2317], [-2185, 223, -4644, -1412, 630, -3031, 2708, -3382, -911, 3367, 13855, 3568, -1963, -1066, 1143, -335, 687, -7617, -1032, -785, 9567, 1614, -3619, 3592, -7180, -12214, 840, -5226, -4516, -2974, -1094, 4227, 9004, -402, -2994, -2658], [799, -3078, 3005, 11370, -4284, 3271, 2849, 3684, -2867, -2893, 568, -4617, 471, 1593, 974, -847, 1607, 286, -1218, 16983, 3677, 284, 1897, -4501, 1976, 349, -1392, 885, -1849, -3860, 19921, 3745, 2275, -1508, -2128, -606], [-185, 3390, 277, -695, 3227, 2887, 4299, -2136, -2134, -1883, 6438, -2668, -4444, 5344, 1075, 1191, 2022, 815, -4963, -4414, 7824, -5766, -1414, 103, -5981, -1158, 556, -3631, -2253, -4335, -4069, 1289, 5596, -94, 34, -3464], [1685, -4007, -1332, -856, -3036, -4039, -2013, -1274, -1556, 4618, -4698, 5203, -107, -4809, -1377, -2733, -2406, -6411, 3977, 4240, -5948, 1050, -1793, 2509, -1882, 3806, -357, 4023, 2805, 4061, -1415, -309, -4757, -254, 2470, 488], [-7290, -3075, -2002, 503, -5791, -3621, 630, -2569, 4729, -3445, -1732, 3170, -816, 5571, -1525, 1089, -10117, 497, -195, -3385, 7700, 4913, -10956, -243, -37, 3590, 8360, -7880, -4761, -1089, 2892, -8772, -3768, 810, 213, -7224], [-8266, 1528, -936, 2328, 8643, 830, 4138, -3567, 2847, -1492, 3043, -91, -3211, -3528, 5105, -910, -5218, 8871, -2732, -5464, 1250, 1456, 917, 525, 4296, 995, 1819, -6723, -2903, 2621, 683, 481, 615, 965, 2595, -1880], [2655, -2790, 12413, 7609, 2861, -217, 3780, 322, 15931, -932, 5160, 1737, 3562, -2485, -6777, -997, 5342, -626, -1949, 4562, -2205, -3122, 2830, -1207, -2284, 5697, 870, -4454, 4004, 14396, 5935, 228, 825, 7482, 3312, 8595], [-2393, 5001, -637, -3215, -1747, 2528, -2626, -1978, -1652, -1195, -2664, -211, -5308, -526, 1315, 1522, -1125, -3577, -966, 3713, 228, -317, -1283, -2120, 4743, 1380, 192, 2520, 404, -4582, -410, 7377, -774, -3070, -717, -1071], [1777, -1480, 1443, -1212, 1609, -1079, -427, 179, -1312, -463, 296, 1210, -1256, -1443, -1357, -972, -19, 1103, -1031, -1670, 2018, 793, -869, -1243, 1891, -1822, 3238, -1969, -381, -1679, -309, 1502, -534, -1169, -1331, -1924], [-5742, 2942, -166, -4927, 2651, 7606, -2251, 1903, -1186, -3071, 2323, -7556, 13648, -1901, 2113, -4962, -1996, 7644, 4242, 1634, 2084, 2424, -1206, -7340, -1060, -3872, 578, 2666, 1271, -985, -2562, 2440, 1036, 1219, 3700, 4020]]
9
9
 
10
-
let biases_layer_2 = [-38117]
10
+
let biases_layer_2 = [-1768, 8209, 1935, 6068, 1144, 945, 2821, 287, -1979, 456, 7230, -4163, 1676, -2168, -3095, -1961, -1625, 8204, -26, -7049, -1025, -6862, -1472, -7671, 1261, -3408, -7758, 2778, -2872, -5227, 21209, 343, -7070, -12, 336, -2278]
11
+
12
+
let weights_layer_3 = [[-9317, 2910, 620, -228, 1610, 5421, 2761, 754, 2811, -2270, 4988, -6310, -21426, 2005, -16974, -4720, -4436, 7522, -111, -6940, -571, 1793, 150, -333, 4354, 2925, 2484, 4565, 4936, 388, 4070, -8381, -2501, 2472, -409, 6175], [1091, 14985, 5994, 7419, -1692, -7007, 1985, -17003, 3320, -5234, 2948, 3433, -2081, 4357, -5485, -37, 3740, -7076, 914, -4549, 487, -6295, 3202, -1999, -12831, 4826, 2047, 2865, 3341, -8123, 1152, -4427, -2360, 845, -3851, -1567], [3170, -3001, 16, 4114, 1448, 2750, 3644, -3529, 7086, -14054, 2580, -21113, -1151, 704, 1254, -6595, 2279, -2830, -18095, -2609, 1310, -10586, 457, -856, 4277, 2065, 1340, -2091, -2006, -7650, 9399, 9203, -5005, 6350, 1069, -16685], [31, 4815, 12845, -5516, 1626, 3480, -29237, 824, -584, -5454, 1714, 546, -5355, -1901, 3747, -1101, 8750, 6956, 1419, -6528, 846, -7768, 8701, -1002, 73, 168, -29198, -1835, 107, 4095, 4639, -3291, -5653, 4476, -728, 9307], [5863, 4945, 1281, 4748, 408, -6666, 1562, 468, -1625, 205, 3391, -915, 3150, -31536, -4780, -1298, -3063, 2241, 1305, -14830, 314, -3245, -3722, -28292, 8745, -828, 1695, 2445, -12087, -5147, 7734, -7306, 582, 2032, -553, -710], [-14743, -6340, 5274, 5173, 314, -14713, 5069, 1868, -2584, -2057, 4332, 3800, -4649, 2024, 2323, 3965, 5948, -3578, 4193, -4258, 6240, -3034, -882, 3563, -5152, 2657, 8463, -4486, -11621, -7521, 14395, 6833, -1, -3908, -424, 1679], [-9986, 2993, 2819, 5901, -498, 7336, 407, -1869, -764, 3495, -11816, 5097, 6429, -1581, -6180, -10516, 5264, 7540, 961, -475, -741, -6460, 800, 3218, -2338, -21638, -3159, 1523, 3848, -970, 7511, -532, 1004, -878, 1619, 1557], [69, -2163, 827, 8828, -385, -2432, 2613, 704, -907, -3341, 8018, 2854, -458, -2626, 4308, -1242, 3521, 8610, -3073, 964, -21911, 2565, 2032, 2134, -5156, -4150, 5429, 4212, 791, -6657, 4684, -6473, -19282, 8318, 3605, 4658], [536, 7804, -2112, 7804, -1536, 3409, -308, 6206, -16063, -2231, 4157, -1351, 5013, -931, -8226, 599, -8239, 898, -2716, -1701, 4741, -3679, 219, 3529, -3815, 2257, 5035, -22650, -2400, -7163, 3112, 1954, -8977, 966, -1432, 5029]]
13
+
14
+
let biases_layer_3 = [11212, 2074, 7455, -585, 8587, 2132, 6372, 4342, 6426]
11
15
 
12
16
 
func linear_forward_1 (input,weights,biases) = {
13
-
    let weighted_sum1 = ((((input[0] * weights[0][0]) + (input[1] * weights[0][1])) / 10000) + biases[0])
14
-
    let weighted_sum2 = ((((input[0] * weights[1][0]) + (input[1] * weights[1][1])) / 10000) + biases[1])
15
-
[weighted_sum1, weighted_sum2]
17
+
    let weighted_sum1 = (((((((((((input[0] * weights[0][0]) + (input[1] * weights[0][1])) + (input[2] * weights[0][2])) + (input[3] * weights[0][3])) + (input[4] * weights[0][4])) + (input[5] * weights[0][5])) + (input[6] * weights[0][6])) + (input[7] * weights[0][7])) + (input[8] * weights[0][8])) / 10000) + biases[0])
18
+
    let weighted_sum2 = (((((((((((input[0] * weights[1][0]) + (input[1] * weights[1][1])) + (input[2] * weights[1][2])) + (input[3] * weights[1][3])) + (input[4] * weights[1][4])) + (input[5] * weights[1][5])) + (input[6] * weights[1][6])) + (input[7] * weights[1][7])) + (input[8] * weights[1][8])) / 10000) + biases[1])
19
+
    let weighted_sum3 = (((((((((((input[0] * weights[2][0]) + (input[1] * weights[2][1])) + (input[2] * weights[2][2])) + (input[3] * weights[2][3])) + (input[4] * weights[2][4])) + (input[5] * weights[2][5])) + (input[6] * weights[2][6])) + (input[7] * weights[2][7])) + (input[8] * weights[2][8])) / 10000) + biases[2])
20
+
    let weighted_sum4 = (((((((((((input[0] * weights[3][0]) + (input[1] * weights[3][1])) + (input[2] * weights[3][2])) + (input[3] * weights[3][3])) + (input[4] * weights[3][4])) + (input[5] * weights[3][5])) + (input[6] * weights[3][6])) + (input[7] * weights[3][7])) + (input[8] * weights[3][8])) / 10000) + biases[3])
21
+
    let weighted_sum5 = (((((((((((input[0] * weights[4][0]) + (input[1] * weights[4][1])) + (input[2] * weights[4][2])) + (input[3] * weights[4][3])) + (input[4] * weights[4][4])) + (input[5] * weights[4][5])) + (input[6] * weights[4][6])) + (input[7] * weights[4][7])) + (input[8] * weights[4][8])) / 10000) + biases[4])
22
+
    let weighted_sum6 = (((((((((((input[0] * weights[5][0]) + (input[1] * weights[5][1])) + (input[2] * weights[5][2])) + (input[3] * weights[5][3])) + (input[4] * weights[5][4])) + (input[5] * weights[5][5])) + (input[6] * weights[5][6])) + (input[7] * weights[5][7])) + (input[8] * weights[5][8])) / 10000) + biases[5])
23
+
    let weighted_sum7 = (((((((((((input[0] * weights[6][0]) + (input[1] * weights[6][1])) + (input[2] * weights[6][2])) + (input[3] * weights[6][3])) + (input[4] * weights[6][4])) + (input[5] * weights[6][5])) + (input[6] * weights[6][6])) + (input[7] * weights[6][7])) + (input[8] * weights[6][8])) / 10000) + biases[6])
24
+
    let weighted_sum8 = (((((((((((input[0] * weights[7][0]) + (input[1] * weights[7][1])) + (input[2] * weights[7][2])) + (input[3] * weights[7][3])) + (input[4] * weights[7][4])) + (input[5] * weights[7][5])) + (input[6] * weights[7][6])) + (input[7] * weights[7][7])) + (input[8] * weights[7][8])) / 10000) + biases[7])
25
+
    let weighted_sum9 = (((((((((((input[0] * weights[8][0]) + (input[1] * weights[8][1])) + (input[2] * weights[8][2])) + (input[3] * weights[8][3])) + (input[4] * weights[8][4])) + (input[5] * weights[8][5])) + (input[6] * weights[8][6])) + (input[7] * weights[8][7])) + (input[8] * weights[8][8])) / 10000) + biases[8])
26
+
    let weighted_sum10 = (((((((((((input[0] * weights[9][0]) + (input[1] * weights[9][1])) + (input[2] * weights[9][2])) + (input[3] * weights[9][3])) + (input[4] * weights[9][4])) + (input[5] * weights[9][5])) + (input[6] * weights[9][6])) + (input[7] * weights[9][7])) + (input[8] * weights[9][8])) / 10000) + biases[9])
27
+
    let weighted_sum11 = (((((((((((input[0] * weights[10][0]) + (input[1] * weights[10][1])) + (input[2] * weights[10][2])) + (input[3] * weights[10][3])) + (input[4] * weights[10][4])) + (input[5] * weights[10][5])) + (input[6] * weights[10][6])) + (input[7] * weights[10][7])) + (input[8] * weights[10][8])) / 10000) + biases[10])
28
+
    let weighted_sum12 = (((((((((((input[0] * weights[11][0]) + (input[1] * weights[11][1])) + (input[2] * weights[11][2])) + (input[3] * weights[11][3])) + (input[4] * weights[11][4])) + (input[5] * weights[11][5])) + (input[6] * weights[11][6])) + (input[7] * weights[11][7])) + (input[8] * weights[11][8])) / 10000) + biases[11])
29
+
    let weighted_sum13 = (((((((((((input[0] * weights[12][0]) + (input[1] * weights[12][1])) + (input[2] * weights[12][2])) + (input[3] * weights[12][3])) + (input[4] * weights[12][4])) + (input[5] * weights[12][5])) + (input[6] * weights[12][6])) + (input[7] * weights[12][7])) + (input[8] * weights[12][8])) / 10000) + biases[12])
30
+
    let weighted_sum14 = (((((((((((input[0] * weights[13][0]) + (input[1] * weights[13][1])) + (input[2] * weights[13][2])) + (input[3] * weights[13][3])) + (input[4] * weights[13][4])) + (input[5] * weights[13][5])) + (input[6] * weights[13][6])) + (input[7] * weights[13][7])) + (input[8] * weights[13][8])) / 10000) + biases[13])
31
+
    let weighted_sum15 = (((((((((((input[0] * weights[14][0]) + (input[1] * weights[14][1])) + (input[2] * weights[14][2])) + (input[3] * weights[14][3])) + (input[4] * weights[14][4])) + (input[5] * weights[14][5])) + (input[6] * weights[14][6])) + (input[7] * weights[14][7])) + (input[8] * weights[14][8])) / 10000) + biases[14])
32
+
    let weighted_sum16 = (((((((((((input[0] * weights[15][0]) + (input[1] * weights[15][1])) + (input[2] * weights[15][2])) + (input[3] * weights[15][3])) + (input[4] * weights[15][4])) + (input[5] * weights[15][5])) + (input[6] * weights[15][6])) + (input[7] * weights[15][7])) + (input[8] * weights[15][8])) / 10000) + biases[15])
33
+
    let weighted_sum17 = (((((((((((input[0] * weights[16][0]) + (input[1] * weights[16][1])) + (input[2] * weights[16][2])) + (input[3] * weights[16][3])) + (input[4] * weights[16][4])) + (input[5] * weights[16][5])) + (input[6] * weights[16][6])) + (input[7] * weights[16][7])) + (input[8] * weights[16][8])) / 10000) + biases[16])
34
+
    let weighted_sum18 = (((((((((((input[0] * weights[17][0]) + (input[1] * weights[17][1])) + (input[2] * weights[17][2])) + (input[3] * weights[17][3])) + (input[4] * weights[17][4])) + (input[5] * weights[17][5])) + (input[6] * weights[17][6])) + (input[7] * weights[17][7])) + (input[8] * weights[17][8])) / 10000) + biases[17])
35
+
    let weighted_sum19 = (((((((((((input[0] * weights[18][0]) + (input[1] * weights[18][1])) + (input[2] * weights[18][2])) + (input[3] * weights[18][3])) + (input[4] * weights[18][4])) + (input[5] * weights[18][5])) + (input[6] * weights[18][6])) + (input[7] * weights[18][7])) + (input[8] * weights[18][8])) / 10000) + biases[18])
36
+
    let weighted_sum20 = (((((((((((input[0] * weights[19][0]) + (input[1] * weights[19][1])) + (input[2] * weights[19][2])) + (input[3] * weights[19][3])) + (input[4] * weights[19][4])) + (input[5] * weights[19][5])) + (input[6] * weights[19][6])) + (input[7] * weights[19][7])) + (input[8] * weights[19][8])) / 10000) + biases[19])
37
+
    let weighted_sum21 = (((((((((((input[0] * weights[20][0]) + (input[1] * weights[20][1])) + (input[2] * weights[20][2])) + (input[3] * weights[20][3])) + (input[4] * weights[20][4])) + (input[5] * weights[20][5])) + (input[6] * weights[20][6])) + (input[7] * weights[20][7])) + (input[8] * weights[20][8])) / 10000) + biases[20])
38
+
    let weighted_sum22 = (((((((((((input[0] * weights[21][0]) + (input[1] * weights[21][1])) + (input[2] * weights[21][2])) + (input[3] * weights[21][3])) + (input[4] * weights[21][4])) + (input[5] * weights[21][5])) + (input[6] * weights[21][6])) + (input[7] * weights[21][7])) + (input[8] * weights[21][8])) / 10000) + biases[21])
39
+
    let weighted_sum23 = (((((((((((input[0] * weights[22][0]) + (input[1] * weights[22][1])) + (input[2] * weights[22][2])) + (input[3] * weights[22][3])) + (input[4] * weights[22][4])) + (input[5] * weights[22][5])) + (input[6] * weights[22][6])) + (input[7] * weights[22][7])) + (input[8] * weights[22][8])) / 10000) + biases[22])
40
+
    let weighted_sum24 = (((((((((((input[0] * weights[23][0]) + (input[1] * weights[23][1])) + (input[2] * weights[23][2])) + (input[3] * weights[23][3])) + (input[4] * weights[23][4])) + (input[5] * weights[23][5])) + (input[6] * weights[23][6])) + (input[7] * weights[23][7])) + (input[8] * weights[23][8])) / 10000) + biases[23])
41
+
    let weighted_sum25 = (((((((((((input[0] * weights[24][0]) + (input[1] * weights[24][1])) + (input[2] * weights[24][2])) + (input[3] * weights[24][3])) + (input[4] * weights[24][4])) + (input[5] * weights[24][5])) + (input[6] * weights[24][6])) + (input[7] * weights[24][7])) + (input[8] * weights[24][8])) / 10000) + biases[24])
42
+
    let weighted_sum26 = (((((((((((input[0] * weights[25][0]) + (input[1] * weights[25][1])) + (input[2] * weights[25][2])) + (input[3] * weights[25][3])) + (input[4] * weights[25][4])) + (input[5] * weights[25][5])) + (input[6] * weights[25][6])) + (input[7] * weights[25][7])) + (input[8] * weights[25][8])) / 10000) + biases[25])
43
+
    let weighted_sum27 = (((((((((((input[0] * weights[26][0]) + (input[1] * weights[26][1])) + (input[2] * weights[26][2])) + (input[3] * weights[26][3])) + (input[4] * weights[26][4])) + (input[5] * weights[26][5])) + (input[6] * weights[26][6])) + (input[7] * weights[26][7])) + (input[8] * weights[26][8])) / 10000) + biases[26])
44
+
    let weighted_sum28 = (((((((((((input[0] * weights[27][0]) + (input[1] * weights[27][1])) + (input[2] * weights[27][2])) + (input[3] * weights[27][3])) + (input[4] * weights[27][4])) + (input[5] * weights[27][5])) + (input[6] * weights[27][6])) + (input[7] * weights[27][7])) + (input[8] * weights[27][8])) / 10000) + biases[27])
45
+
    let weighted_sum29 = (((((((((((input[0] * weights[28][0]) + (input[1] * weights[28][1])) + (input[2] * weights[28][2])) + (input[3] * weights[28][3])) + (input[4] * weights[28][4])) + (input[5] * weights[28][5])) + (input[6] * weights[28][6])) + (input[7] * weights[28][7])) + (input[8] * weights[28][8])) / 10000) + biases[28])
46
+
    let weighted_sum30 = (((((((((((input[0] * weights[29][0]) + (input[1] * weights[29][1])) + (input[2] * weights[29][2])) + (input[3] * weights[29][3])) + (input[4] * weights[29][4])) + (input[5] * weights[29][5])) + (input[6] * weights[29][6])) + (input[7] * weights[29][7])) + (input[8] * weights[29][8])) / 10000) + biases[29])
47
+
    let weighted_sum31 = (((((((((((input[0] * weights[30][0]) + (input[1] * weights[30][1])) + (input[2] * weights[30][2])) + (input[3] * weights[30][3])) + (input[4] * weights[30][4])) + (input[5] * weights[30][5])) + (input[6] * weights[30][6])) + (input[7] * weights[30][7])) + (input[8] * weights[30][8])) / 10000) + biases[30])
48
+
    let weighted_sum32 = (((((((((((input[0] * weights[31][0]) + (input[1] * weights[31][1])) + (input[2] * weights[31][2])) + (input[3] * weights[31][3])) + (input[4] * weights[31][4])) + (input[5] * weights[31][5])) + (input[6] * weights[31][6])) + (input[7] * weights[31][7])) + (input[8] * weights[31][8])) / 10000) + biases[31])
49
+
    let weighted_sum33 = (((((((((((input[0] * weights[32][0]) + (input[1] * weights[32][1])) + (input[2] * weights[32][2])) + (input[3] * weights[32][3])) + (input[4] * weights[32][4])) + (input[5] * weights[32][5])) + (input[6] * weights[32][6])) + (input[7] * weights[32][7])) + (input[8] * weights[32][8])) / 10000) + biases[32])
50
+
    let weighted_sum34 = (((((((((((input[0] * weights[33][0]) + (input[1] * weights[33][1])) + (input[2] * weights[33][2])) + (input[3] * weights[33][3])) + (input[4] * weights[33][4])) + (input[5] * weights[33][5])) + (input[6] * weights[33][6])) + (input[7] * weights[33][7])) + (input[8] * weights[33][8])) / 10000) + biases[33])
51
+
    let weighted_sum35 = (((((((((((input[0] * weights[34][0]) + (input[1] * weights[34][1])) + (input[2] * weights[34][2])) + (input[3] * weights[34][3])) + (input[4] * weights[34][4])) + (input[5] * weights[34][5])) + (input[6] * weights[34][6])) + (input[7] * weights[34][7])) + (input[8] * weights[34][8])) / 10000) + biases[34])
52
+
    let weighted_sum36 = (((((((((((input[0] * weights[35][0]) + (input[1] * weights[35][1])) + (input[2] * weights[35][2])) + (input[3] * weights[35][3])) + (input[4] * weights[35][4])) + (input[5] * weights[35][5])) + (input[6] * weights[35][6])) + (input[7] * weights[35][7])) + (input[8] * weights[35][8])) / 10000) + biases[35])
53
+
[weighted_sum1, weighted_sum2, weighted_sum3, weighted_sum4, weighted_sum5, weighted_sum6, weighted_sum7, weighted_sum8, weighted_sum9, weighted_sum10, weighted_sum11, weighted_sum12, weighted_sum13, weighted_sum14, weighted_sum15, weighted_sum16, weighted_sum17, weighted_sum18, weighted_sum19, weighted_sum20, weighted_sum21, weighted_sum22, weighted_sum23, weighted_sum24, weighted_sum25, weighted_sum26, weighted_sum27, weighted_sum28, weighted_sum29, weighted_sum30, weighted_sum31, weighted_sum32, weighted_sum33, weighted_sum34, weighted_sum35, weighted_sum36]
16
54
 
    }
17
55
 
18
56
 
19
57
 
func linear_forward_2 (input,weights,biases) = {
20
-
    let weighted_sum1 = ((((input[0] * weights[0][0]) + (input[1] * weights[0][1])) / 10000) + biases[0])
21
-
[weighted_sum1]
58
+
    let weighted_sum1 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[0][0]) + (input[1] * weights[0][1])) + (input[2] * weights[0][2])) + (input[3] * weights[0][3])) + (input[4] * weights[0][4])) + (input[5] * weights[0][5])) + (input[6] * weights[0][6])) + (input[7] * weights[0][7])) + (input[8] * weights[0][8])) + (input[9] * weights[0][9])) + (input[10] * weights[0][10])) + (input[11] * weights[0][11])) + (input[12] * weights[0][12])) + (input[13] * weights[0][13])) + (input[14] * weights[0][14])) + (input[15] * weights[0][15])) + (input[16] * weights[0][16])) + (input[17] * weights[0][17])) + (input[18] * weights[0][18])) + (input[19] * weights[0][19])) + (input[20] * weights[0][20])) + (input[21] * weights[0][21])) + (input[22] * weights[0][22])) + (input[23] * weights[0][23])) + (input[24] * weights[0][24])) + (input[25] * weights[0][25])) + (input[26] * weights[0][26])) + (input[27] * weights[0][27])) + (input[28] * weights[0][28])) + (input[29] * weights[0][29])) + (input[30] * weights[0][30])) + (input[31] * weights[0][31])) + (input[32] * weights[0][32])) + (input[33] * weights[0][33])) + (input[34] * weights[0][34])) + (input[35] * weights[0][35])) / 10000) + biases[0])
59
+
    let weighted_sum2 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[1][0]) + (input[1] * weights[1][1])) + (input[2] * weights[1][2])) + (input[3] * weights[1][3])) + (input[4] * weights[1][4])) + (input[5] * weights[1][5])) + (input[6] * weights[1][6])) + (input[7] * weights[1][7])) + (input[8] * weights[1][8])) + (input[9] * weights[1][9])) + (input[10] * weights[1][10])) + (input[11] * weights[1][11])) + (input[12] * weights[1][12])) + (input[13] * weights[1][13])) + (input[14] * weights[1][14])) + (input[15] * weights[1][15])) + (input[16] * weights[1][16])) + (input[17] * weights[1][17])) + (input[18] * weights[1][18])) + (input[19] * weights[1][19])) + (input[20] * weights[1][20])) + (input[21] * weights[1][21])) + (input[22] * weights[1][22])) + (input[23] * weights[1][23])) + (input[24] * weights[1][24])) + (input[25] * weights[1][25])) + (input[26] * weights[1][26])) + (input[27] * weights[1][27])) + (input[28] * weights[1][28])) + (input[29] * weights[1][29])) + (input[30] * weights[1][30])) + (input[31] * weights[1][31])) + (input[32] * weights[1][32])) + (input[33] * weights[1][33])) + (input[34] * weights[1][34])) + (input[35] * weights[1][35])) / 10000) + biases[1])
60
+
    let weighted_sum3 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[2][0]) + (input[1] * weights[2][1])) + (input[2] * weights[2][2])) + (input[3] * weights[2][3])) + (input[4] * weights[2][4])) + (input[5] * weights[2][5])) + (input[6] * weights[2][6])) + (input[7] * weights[2][7])) + (input[8] * weights[2][8])) + (input[9] * weights[2][9])) + (input[10] * weights[2][10])) + (input[11] * weights[2][11])) + (input[12] * weights[2][12])) + (input[13] * weights[2][13])) + (input[14] * weights[2][14])) + (input[15] * weights[2][15])) + (input[16] * weights[2][16])) + (input[17] * weights[2][17])) + (input[18] * weights[2][18])) + (input[19] * weights[2][19])) + (input[20] * weights[2][20])) + (input[21] * weights[2][21])) + (input[22] * weights[2][22])) + (input[23] * weights[2][23])) + (input[24] * weights[2][24])) + (input[25] * weights[2][25])) + (input[26] * weights[2][26])) + (input[27] * weights[2][27])) + (input[28] * weights[2][28])) + (input[29] * weights[2][29])) + (input[30] * weights[2][30])) + (input[31] * weights[2][31])) + (input[32] * weights[2][32])) + (input[33] * weights[2][33])) + (input[34] * weights[2][34])) + (input[35] * weights[2][35])) / 10000) + biases[2])
61
+
    let weighted_sum4 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[3][0]) + (input[1] * weights[3][1])) + (input[2] * weights[3][2])) + (input[3] * weights[3][3])) + (input[4] * weights[3][4])) + (input[5] * weights[3][5])) + (input[6] * weights[3][6])) + (input[7] * weights[3][7])) + (input[8] * weights[3][8])) + (input[9] * weights[3][9])) + (input[10] * weights[3][10])) + (input[11] * weights[3][11])) + (input[12] * weights[3][12])) + (input[13] * weights[3][13])) + (input[14] * weights[3][14])) + (input[15] * weights[3][15])) + (input[16] * weights[3][16])) + (input[17] * weights[3][17])) + (input[18] * weights[3][18])) + (input[19] * weights[3][19])) + (input[20] * weights[3][20])) + (input[21] * weights[3][21])) + (input[22] * weights[3][22])) + (input[23] * weights[3][23])) + (input[24] * weights[3][24])) + (input[25] * weights[3][25])) + (input[26] * weights[3][26])) + (input[27] * weights[3][27])) + (input[28] * weights[3][28])) + (input[29] * weights[3][29])) + (input[30] * weights[3][30])) + (input[31] * weights[3][31])) + (input[32] * weights[3][32])) + (input[33] * weights[3][33])) + (input[34] * weights[3][34])) + (input[35] * weights[3][35])) / 10000) + biases[3])
62
+
    let weighted_sum5 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[4][0]) + (input[1] * weights[4][1])) + (input[2] * weights[4][2])) + (input[3] * weights[4][3])) + (input[4] * weights[4][4])) + (input[5] * weights[4][5])) + (input[6] * weights[4][6])) + (input[7] * weights[4][7])) + (input[8] * weights[4][8])) + (input[9] * weights[4][9])) + (input[10] * weights[4][10])) + (input[11] * weights[4][11])) + (input[12] * weights[4][12])) + (input[13] * weights[4][13])) + (input[14] * weights[4][14])) + (input[15] * weights[4][15])) + (input[16] * weights[4][16])) + (input[17] * weights[4][17])) + (input[18] * weights[4][18])) + (input[19] * weights[4][19])) + (input[20] * weights[4][20])) + (input[21] * weights[4][21])) + (input[22] * weights[4][22])) + (input[23] * weights[4][23])) + (input[24] * weights[4][24])) + (input[25] * weights[4][25])) + (input[26] * weights[4][26])) + (input[27] * weights[4][27])) + (input[28] * weights[4][28])) + (input[29] * weights[4][29])) + (input[30] * weights[4][30])) + (input[31] * weights[4][31])) + (input[32] * weights[4][32])) + (input[33] * weights[4][33])) + (input[34] * weights[4][34])) + (input[35] * weights[4][35])) / 10000) + biases[4])
63
+
    let weighted_sum6 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[5][0]) + (input[1] * weights[5][1])) + (input[2] * weights[5][2])) + (input[3] * weights[5][3])) + (input[4] * weights[5][4])) + (input[5] * weights[5][5])) + (input[6] * weights[5][6])) + (input[7] * weights[5][7])) + (input[8] * weights[5][8])) + (input[9] * weights[5][9])) + (input[10] * weights[5][10])) + (input[11] * weights[5][11])) + (input[12] * weights[5][12])) + (input[13] * weights[5][13])) + (input[14] * weights[5][14])) + (input[15] * weights[5][15])) + (input[16] * weights[5][16])) + (input[17] * weights[5][17])) + (input[18] * weights[5][18])) + (input[19] * weights[5][19])) + (input[20] * weights[5][20])) + (input[21] * weights[5][21])) + (input[22] * weights[5][22])) + (input[23] * weights[5][23])) + (input[24] * weights[5][24])) + (input[25] * weights[5][25])) + (input[26] * weights[5][26])) + (input[27] * weights[5][27])) + (input[28] * weights[5][28])) + (input[29] * weights[5][29])) + (input[30] * weights[5][30])) + (input[31] * weights[5][31])) + (input[32] * weights[5][32])) + (input[33] * weights[5][33])) + (input[34] * weights[5][34])) + (input[35] * weights[5][35])) / 10000) + biases[5])
64
+
    let weighted_sum7 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[6][0]) + (input[1] * weights[6][1])) + (input[2] * weights[6][2])) + (input[3] * weights[6][3])) + (input[4] * weights[6][4])) + (input[5] * weights[6][5])) + (input[6] * weights[6][6])) + (input[7] * weights[6][7])) + (input[8] * weights[6][8])) + (input[9] * weights[6][9])) + (input[10] * weights[6][10])) + (input[11] * weights[6][11])) + (input[12] * weights[6][12])) + (input[13] * weights[6][13])) + (input[14] * weights[6][14])) + (input[15] * weights[6][15])) + (input[16] * weights[6][16])) + (input[17] * weights[6][17])) + (input[18] * weights[6][18])) + (input[19] * weights[6][19])) + (input[20] * weights[6][20])) + (input[21] * weights[6][21])) + (input[22] * weights[6][22])) + (input[23] * weights[6][23])) + (input[24] * weights[6][24])) + (input[25] * weights[6][25])) + (input[26] * weights[6][26])) + (input[27] * weights[6][27])) + (input[28] * weights[6][28])) + (input[29] * weights[6][29])) + (input[30] * weights[6][30])) + (input[31] * weights[6][31])) + (input[32] * weights[6][32])) + (input[33] * weights[6][33])) + (input[34] * weights[6][34])) + (input[35] * weights[6][35])) / 10000) + biases[6])
65
+
    let weighted_sum8 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[7][0]) + (input[1] * weights[7][1])) + (input[2] * weights[7][2])) + (input[3] * weights[7][3])) + (input[4] * weights[7][4])) + (input[5] * weights[7][5])) + (input[6] * weights[7][6])) + (input[7] * weights[7][7])) + (input[8] * weights[7][8])) + (input[9] * weights[7][9])) + (input[10] * weights[7][10])) + (input[11] * weights[7][11])) + (input[12] * weights[7][12])) + (input[13] * weights[7][13])) + (input[14] * weights[7][14])) + (input[15] * weights[7][15])) + (input[16] * weights[7][16])) + (input[17] * weights[7][17])) + (input[18] * weights[7][18])) + (input[19] * weights[7][19])) + (input[20] * weights[7][20])) + (input[21] * weights[7][21])) + (input[22] * weights[7][22])) + (input[23] * weights[7][23])) + (input[24] * weights[7][24])) + (input[25] * weights[7][25])) + (input[26] * weights[7][26])) + (input[27] * weights[7][27])) + (input[28] * weights[7][28])) + (input[29] * weights[7][29])) + (input[30] * weights[7][30])) + (input[31] * weights[7][31])) + (input[32] * weights[7][32])) + (input[33] * weights[7][33])) + (input[34] * weights[7][34])) + (input[35] * weights[7][35])) / 10000) + biases[7])
66
+
    let weighted_sum9 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[8][0]) + (input[1] * weights[8][1])) + (input[2] * weights[8][2])) + (input[3] * weights[8][3])) + (input[4] * weights[8][4])) + (input[5] * weights[8][5])) + (input[6] * weights[8][6])) + (input[7] * weights[8][7])) + (input[8] * weights[8][8])) + (input[9] * weights[8][9])) + (input[10] * weights[8][10])) + (input[11] * weights[8][11])) + (input[12] * weights[8][12])) + (input[13] * weights[8][13])) + (input[14] * weights[8][14])) + (input[15] * weights[8][15])) + (input[16] * weights[8][16])) + (input[17] * weights[8][17])) + (input[18] * weights[8][18])) + (input[19] * weights[8][19])) + (input[20] * weights[8][20])) + (input[21] * weights[8][21])) + (input[22] * weights[8][22])) + (input[23] * weights[8][23])) + (input[24] * weights[8][24])) + (input[25] * weights[8][25])) + (input[26] * weights[8][26])) + (input[27] * weights[8][27])) + (input[28] * weights[8][28])) + (input[29] * weights[8][29])) + (input[30] * weights[8][30])) + (input[31] * weights[8][31])) + (input[32] * weights[8][32])) + (input[33] * weights[8][33])) + (input[34] * weights[8][34])) + (input[35] * weights[8][35])) / 10000) + biases[8])
67
+
    let weighted_sum10 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[9][0]) + (input[1] * weights[9][1])) + (input[2] * weights[9][2])) + (input[3] * weights[9][3])) + (input[4] * weights[9][4])) + (input[5] * weights[9][5])) + (input[6] * weights[9][6])) + (input[7] * weights[9][7])) + (input[8] * weights[9][8])) + (input[9] * weights[9][9])) + (input[10] * weights[9][10])) + (input[11] * weights[9][11])) + (input[12] * weights[9][12])) + (input[13] * weights[9][13])) + (input[14] * weights[9][14])) + (input[15] * weights[9][15])) + (input[16] * weights[9][16])) + (input[17] * weights[9][17])) + (input[18] * weights[9][18])) + (input[19] * weights[9][19])) + (input[20] * weights[9][20])) + (input[21] * weights[9][21])) + (input[22] * weights[9][22])) + (input[23] * weights[9][23])) + (input[24] * weights[9][24])) + (input[25] * weights[9][25])) + (input[26] * weights[9][26])) + (input[27] * weights[9][27])) + (input[28] * weights[9][28])) + (input[29] * weights[9][29])) + (input[30] * weights[9][30])) + (input[31] * weights[9][31])) + (input[32] * weights[9][32])) + (input[33] * weights[9][33])) + (input[34] * weights[9][34])) + (input[35] * weights[9][35])) / 10000) + biases[9])
68
+
    let weighted_sum11 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[10][0]) + (input[1] * weights[10][1])) + (input[2] * weights[10][2])) + (input[3] * weights[10][3])) + (input[4] * weights[10][4])) + (input[5] * weights[10][5])) + (input[6] * weights[10][6])) + (input[7] * weights[10][7])) + (input[8] * weights[10][8])) + (input[9] * weights[10][9])) + (input[10] * weights[10][10])) + (input[11] * weights[10][11])) + (input[12] * weights[10][12])) + (input[13] * weights[10][13])) + (input[14] * weights[10][14])) + (input[15] * weights[10][15])) + (input[16] * weights[10][16])) + (input[17] * weights[10][17])) + (input[18] * weights[10][18])) + (input[19] * weights[10][19])) + (input[20] * weights[10][20])) + (input[21] * weights[10][21])) + (input[22] * weights[10][22])) + (input[23] * weights[10][23])) + (input[24] * weights[10][24])) + (input[25] * weights[10][25])) + (input[26] * weights[10][26])) + (input[27] * weights[10][27])) + (input[28] * weights[10][28])) + (input[29] * weights[10][29])) + (input[30] * weights[10][30])) + (input[31] * weights[10][31])) + (input[32] * weights[10][32])) + (input[33] * weights[10][33])) + (input[34] * weights[10][34])) + (input[35] * weights[10][35])) / 10000) + biases[10])
69
+
    let weighted_sum12 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[11][0]) + (input[1] * weights[11][1])) + (input[2] * weights[11][2])) + (input[3] * weights[11][3])) + (input[4] * weights[11][4])) + (input[5] * weights[11][5])) + (input[6] * weights[11][6])) + (input[7] * weights[11][7])) + (input[8] * weights[11][8])) + (input[9] * weights[11][9])) + (input[10] * weights[11][10])) + (input[11] * weights[11][11])) + (input[12] * weights[11][12])) + (input[13] * weights[11][13])) + (input[14] * weights[11][14])) + (input[15] * weights[11][15])) + (input[16] * weights[11][16])) + (input[17] * weights[11][17])) + (input[18] * weights[11][18])) + (input[19] * weights[11][19])) + (input[20] * weights[11][20])) + (input[21] * weights[11][21])) + (input[22] * weights[11][22])) + (input[23] * weights[11][23])) + (input[24] * weights[11][24])) + (input[25] * weights[11][25])) + (input[26] * weights[11][26])) + (input[27] * weights[11][27])) + (input[28] * weights[11][28])) + (input[29] * weights[11][29])) + (input[30] * weights[11][30])) + (input[31] * weights[11][31])) + (input[32] * weights[11][32])) + (input[33] * weights[11][33])) + (input[34] * weights[11][34])) + (input[35] * weights[11][35])) / 10000) + biases[11])
70
+
    let weighted_sum13 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[12][0]) + (input[1] * weights[12][1])) + (input[2] * weights[12][2])) + (input[3] * weights[12][3])) + (input[4] * weights[12][4])) + (input[5] * weights[12][5])) + (input[6] * weights[12][6])) + (input[7] * weights[12][7])) + (input[8] * weights[12][8])) + (input[9] * weights[12][9])) + (input[10] * weights[12][10])) + (input[11] * weights[12][11])) + (input[12] * weights[12][12])) + (input[13] * weights[12][13])) + (input[14] * weights[12][14])) + (input[15] * weights[12][15])) + (input[16] * weights[12][16])) + (input[17] * weights[12][17])) + (input[18] * weights[12][18])) + (input[19] * weights[12][19])) + (input[20] * weights[12][20])) + (input[21] * weights[12][21])) + (input[22] * weights[12][22])) + (input[23] * weights[12][23])) + (input[24] * weights[12][24])) + (input[25] * weights[12][25])) + (input[26] * weights[12][26])) + (input[27] * weights[12][27])) + (input[28] * weights[12][28])) + (input[29] * weights[12][29])) + (input[30] * weights[12][30])) + (input[31] * weights[12][31])) + (input[32] * weights[12][32])) + (input[33] * weights[12][33])) + (input[34] * weights[12][34])) + (input[35] * weights[12][35])) / 10000) + biases[12])
71
+
    let weighted_sum14 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[13][0]) + (input[1] * weights[13][1])) + (input[2] * weights[13][2])) + (input[3] * weights[13][3])) + (input[4] * weights[13][4])) + (input[5] * weights[13][5])) + (input[6] * weights[13][6])) + (input[7] * weights[13][7])) + (input[8] * weights[13][8])) + (input[9] * weights[13][9])) + (input[10] * weights[13][10])) + (input[11] * weights[13][11])) + (input[12] * weights[13][12])) + (input[13] * weights[13][13])) + (input[14] * weights[13][14])) + (input[15] * weights[13][15])) + (input[16] * weights[13][16])) + (input[17] * weights[13][17])) + (input[18] * weights[13][18])) + (input[19] * weights[13][19])) + (input[20] * weights[13][20])) + (input[21] * weights[13][21])) + (input[22] * weights[13][22])) + (input[23] * weights[13][23])) + (input[24] * weights[13][24])) + (input[25] * weights[13][25])) + (input[26] * weights[13][26])) + (input[27] * weights[13][27])) + (input[28] * weights[13][28])) + (input[29] * weights[13][29])) + (input[30] * weights[13][30])) + (input[31] * weights[13][31])) + (input[32] * weights[13][32])) + (input[33] * weights[13][33])) + (input[34] * weights[13][34])) + (input[35] * weights[13][35])) / 10000) + biases[13])
72
+
    let weighted_sum15 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[14][0]) + (input[1] * weights[14][1])) + (input[2] * weights[14][2])) + (input[3] * weights[14][3])) + (input[4] * weights[14][4])) + (input[5] * weights[14][5])) + (input[6] * weights[14][6])) + (input[7] * weights[14][7])) + (input[8] * weights[14][8])) + (input[9] * weights[14][9])) + (input[10] * weights[14][10])) + (input[11] * weights[14][11])) + (input[12] * weights[14][12])) + (input[13] * weights[14][13])) + (input[14] * weights[14][14])) + (input[15] * weights[14][15])) + (input[16] * weights[14][16])) + (input[17] * weights[14][17])) + (input[18] * weights[14][18])) + (input[19] * weights[14][19])) + (input[20] * weights[14][20])) + (input[21] * weights[14][21])) + (input[22] * weights[14][22])) + (input[23] * weights[14][23])) + (input[24] * weights[14][24])) + (input[25] * weights[14][25])) + (input[26] * weights[14][26])) + (input[27] * weights[14][27])) + (input[28] * weights[14][28])) + (input[29] * weights[14][29])) + (input[30] * weights[14][30])) + (input[31] * weights[14][31])) + (input[32] * weights[14][32])) + (input[33] * weights[14][33])) + (input[34] * weights[14][34])) + (input[35] * weights[14][35])) / 10000) + biases[14])
73
+
    let weighted_sum16 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[15][0]) + (input[1] * weights[15][1])) + (input[2] * weights[15][2])) + (input[3] * weights[15][3])) + (input[4] * weights[15][4])) + (input[5] * weights[15][5])) + (input[6] * weights[15][6])) + (input[7] * weights[15][7])) + (input[8] * weights[15][8])) + (input[9] * weights[15][9])) + (input[10] * weights[15][10])) + (input[11] * weights[15][11])) + (input[12] * weights[15][12])) + (input[13] * weights[15][13])) + (input[14] * weights[15][14])) + (input[15] * weights[15][15])) + (input[16] * weights[15][16])) + (input[17] * weights[15][17])) + (input[18] * weights[15][18])) + (input[19] * weights[15][19])) + (input[20] * weights[15][20])) + (input[21] * weights[15][21])) + (input[22] * weights[15][22])) + (input[23] * weights[15][23])) + (input[24] * weights[15][24])) + (input[25] * weights[15][25])) + (input[26] * weights[15][26])) + (input[27] * weights[15][27])) + (input[28] * weights[15][28])) + (input[29] * weights[15][29])) + (input[30] * weights[15][30])) + (input[31] * weights[15][31])) + (input[32] * weights[15][32])) + (input[33] * weights[15][33])) + (input[34] * weights[15][34])) + (input[35] * weights[15][35])) / 10000) + biases[15])
74
+
    let weighted_sum17 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[16][0]) + (input[1] * weights[16][1])) + (input[2] * weights[16][2])) + (input[3] * weights[16][3])) + (input[4] * weights[16][4])) + (input[5] * weights[16][5])) + (input[6] * weights[16][6])) + (input[7] * weights[16][7])) + (input[8] * weights[16][8])) + (input[9] * weights[16][9])) + (input[10] * weights[16][10])) + (input[11] * weights[16][11])) + (input[12] * weights[16][12])) + (input[13] * weights[16][13])) + (input[14] * weights[16][14])) + (input[15] * weights[16][15])) + (input[16] * weights[16][16])) + (input[17] * weights[16][17])) + (input[18] * weights[16][18])) + (input[19] * weights[16][19])) + (input[20] * weights[16][20])) + (input[21] * weights[16][21])) + (input[22] * weights[16][22])) + (input[23] * weights[16][23])) + (input[24] * weights[16][24])) + (input[25] * weights[16][25])) + (input[26] * weights[16][26])) + (input[27] * weights[16][27])) + (input[28] * weights[16][28])) + (input[29] * weights[16][29])) + (input[30] * weights[16][30])) + (input[31] * weights[16][31])) + (input[32] * weights[16][32])) + (input[33] * weights[16][33])) + (input[34] * weights[16][34])) + (input[35] * weights[16][35])) / 10000) + biases[16])
75
+
    let weighted_sum18 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[17][0]) + (input[1] * weights[17][1])) + (input[2] * weights[17][2])) + (input[3] * weights[17][3])) + (input[4] * weights[17][4])) + (input[5] * weights[17][5])) + (input[6] * weights[17][6])) + (input[7] * weights[17][7])) + (input[8] * weights[17][8])) + (input[9] * weights[17][9])) + (input[10] * weights[17][10])) + (input[11] * weights[17][11])) + (input[12] * weights[17][12])) + (input[13] * weights[17][13])) + (input[14] * weights[17][14])) + (input[15] * weights[17][15])) + (input[16] * weights[17][16])) + (input[17] * weights[17][17])) + (input[18] * weights[17][18])) + (input[19] * weights[17][19])) + (input[20] * weights[17][20])) + (input[21] * weights[17][21])) + (input[22] * weights[17][22])) + (input[23] * weights[17][23])) + (input[24] * weights[17][24])) + (input[25] * weights[17][25])) + (input[26] * weights[17][26])) + (input[27] * weights[17][27])) + (input[28] * weights[17][28])) + (input[29] * weights[17][29])) + (input[30] * weights[17][30])) + (input[31] * weights[17][31])) + (input[32] * weights[17][32])) + (input[33] * weights[17][33])) + (input[34] * weights[17][34])) + (input[35] * weights[17][35])) / 10000) + biases[17])
76
+
    let weighted_sum19 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[18][0]) + (input[1] * weights[18][1])) + (input[2] * weights[18][2])) + (input[3] * weights[18][3])) + (input[4] * weights[18][4])) + (input[5] * weights[18][5])) + (input[6] * weights[18][6])) + (input[7] * weights[18][7])) + (input[8] * weights[18][8])) + (input[9] * weights[18][9])) + (input[10] * weights[18][10])) + (input[11] * weights[18][11])) + (input[12] * weights[18][12])) + (input[13] * weights[18][13])) + (input[14] * weights[18][14])) + (input[15] * weights[18][15])) + (input[16] * weights[18][16])) + (input[17] * weights[18][17])) + (input[18] * weights[18][18])) + (input[19] * weights[18][19])) + (input[20] * weights[18][20])) + (input[21] * weights[18][21])) + (input[22] * weights[18][22])) + (input[23] * weights[18][23])) + (input[24] * weights[18][24])) + (input[25] * weights[18][25])) + (input[26] * weights[18][26])) + (input[27] * weights[18][27])) + (input[28] * weights[18][28])) + (input[29] * weights[18][29])) + (input[30] * weights[18][30])) + (input[31] * weights[18][31])) + (input[32] * weights[18][32])) + (input[33] * weights[18][33])) + (input[34] * weights[18][34])) + (input[35] * weights[18][35])) / 10000) + biases[18])
77
+
    let weighted_sum20 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[19][0]) + (input[1] * weights[19][1])) + (input[2] * weights[19][2])) + (input[3] * weights[19][3])) + (input[4] * weights[19][4])) + (input[5] * weights[19][5])) + (input[6] * weights[19][6])) + (input[7] * weights[19][7])) + (input[8] * weights[19][8])) + (input[9] * weights[19][9])) + (input[10] * weights[19][10])) + (input[11] * weights[19][11])) + (input[12] * weights[19][12])) + (input[13] * weights[19][13])) + (input[14] * weights[19][14])) + (input[15] * weights[19][15])) + (input[16] * weights[19][16])) + (input[17] * weights[19][17])) + (input[18] * weights[19][18])) + (input[19] * weights[19][19])) + (input[20] * weights[19][20])) + (input[21] * weights[19][21])) + (input[22] * weights[19][22])) + (input[23] * weights[19][23])) + (input[24] * weights[19][24])) + (input[25] * weights[19][25])) + (input[26] * weights[19][26])) + (input[27] * weights[19][27])) + (input[28] * weights[19][28])) + (input[29] * weights[19][29])) + (input[30] * weights[19][30])) + (input[31] * weights[19][31])) + (input[32] * weights[19][32])) + (input[33] * weights[19][33])) + (input[34] * weights[19][34])) + (input[35] * weights[19][35])) / 10000) + biases[19])
78
+
    let weighted_sum21 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[20][0]) + (input[1] * weights[20][1])) + (input[2] * weights[20][2])) + (input[3] * weights[20][3])) + (input[4] * weights[20][4])) + (input[5] * weights[20][5])) + (input[6] * weights[20][6])) + (input[7] * weights[20][7])) + (input[8] * weights[20][8])) + (input[9] * weights[20][9])) + (input[10] * weights[20][10])) + (input[11] * weights[20][11])) + (input[12] * weights[20][12])) + (input[13] * weights[20][13])) + (input[14] * weights[20][14])) + (input[15] * weights[20][15])) + (input[16] * weights[20][16])) + (input[17] * weights[20][17])) + (input[18] * weights[20][18])) + (input[19] * weights[20][19])) + (input[20] * weights[20][20])) + (input[21] * weights[20][21])) + (input[22] * weights[20][22])) + (input[23] * weights[20][23])) + (input[24] * weights[20][24])) + (input[25] * weights[20][25])) + (input[26] * weights[20][26])) + (input[27] * weights[20][27])) + (input[28] * weights[20][28])) + (input[29] * weights[20][29])) + (input[30] * weights[20][30])) + (input[31] * weights[20][31])) + (input[32] * weights[20][32])) + (input[33] * weights[20][33])) + (input[34] * weights[20][34])) + (input[35] * weights[20][35])) / 10000) + biases[20])
79
+
    let weighted_sum22 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[21][0]) + (input[1] * weights[21][1])) + (input[2] * weights[21][2])) + (input[3] * weights[21][3])) + (input[4] * weights[21][4])) + (input[5] * weights[21][5])) + (input[6] * weights[21][6])) + (input[7] * weights[21][7])) + (input[8] * weights[21][8])) + (input[9] * weights[21][9])) + (input[10] * weights[21][10])) + (input[11] * weights[21][11])) + (input[12] * weights[21][12])) + (input[13] * weights[21][13])) + (input[14] * weights[21][14])) + (input[15] * weights[21][15])) + (input[16] * weights[21][16])) + (input[17] * weights[21][17])) + (input[18] * weights[21][18])) + (input[19] * weights[21][19])) + (input[20] * weights[21][20])) + (input[21] * weights[21][21])) + (input[22] * weights[21][22])) + (input[23] * weights[21][23])) + (input[24] * weights[21][24])) + (input[25] * weights[21][25])) + (input[26] * weights[21][26])) + (input[27] * weights[21][27])) + (input[28] * weights[21][28])) + (input[29] * weights[21][29])) + (input[30] * weights[21][30])) + (input[31] * weights[21][31])) + (input[32] * weights[21][32])) + (input[33] * weights[21][33])) + (input[34] * weights[21][34])) + (input[35] * weights[21][35])) / 10000) + biases[21])
80
+
    let weighted_sum23 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[22][0]) + (input[1] * weights[22][1])) + (input[2] * weights[22][2])) + (input[3] * weights[22][3])) + (input[4] * weights[22][4])) + (input[5] * weights[22][5])) + (input[6] * weights[22][6])) + (input[7] * weights[22][7])) + (input[8] * weights[22][8])) + (input[9] * weights[22][9])) + (input[10] * weights[22][10])) + (input[11] * weights[22][11])) + (input[12] * weights[22][12])) + (input[13] * weights[22][13])) + (input[14] * weights[22][14])) + (input[15] * weights[22][15])) + (input[16] * weights[22][16])) + (input[17] * weights[22][17])) + (input[18] * weights[22][18])) + (input[19] * weights[22][19])) + (input[20] * weights[22][20])) + (input[21] * weights[22][21])) + (input[22] * weights[22][22])) + (input[23] * weights[22][23])) + (input[24] * weights[22][24])) + (input[25] * weights[22][25])) + (input[26] * weights[22][26])) + (input[27] * weights[22][27])) + (input[28] * weights[22][28])) + (input[29] * weights[22][29])) + (input[30] * weights[22][30])) + (input[31] * weights[22][31])) + (input[32] * weights[22][32])) + (input[33] * weights[22][33])) + (input[34] * weights[22][34])) + (input[35] * weights[22][35])) / 10000) + biases[22])
81
+
    let weighted_sum24 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[23][0]) + (input[1] * weights[23][1])) + (input[2] * weights[23][2])) + (input[3] * weights[23][3])) + (input[4] * weights[23][4])) + (input[5] * weights[23][5])) + (input[6] * weights[23][6])) + (input[7] * weights[23][7])) + (input[8] * weights[23][8])) + (input[9] * weights[23][9])) + (input[10] * weights[23][10])) + (input[11] * weights[23][11])) + (input[12] * weights[23][12])) + (input[13] * weights[23][13])) + (input[14] * weights[23][14])) + (input[15] * weights[23][15])) + (input[16] * weights[23][16])) + (input[17] * weights[23][17])) + (input[18] * weights[23][18])) + (input[19] * weights[23][19])) + (input[20] * weights[23][20])) + (input[21] * weights[23][21])) + (input[22] * weights[23][22])) + (input[23] * weights[23][23])) + (input[24] * weights[23][24])) + (input[25] * weights[23][25])) + (input[26] * weights[23][26])) + (input[27] * weights[23][27])) + (input[28] * weights[23][28])) + (input[29] * weights[23][29])) + (input[30] * weights[23][30])) + (input[31] * weights[23][31])) + (input[32] * weights[23][32])) + (input[33] * weights[23][33])) + (input[34] * weights[23][34])) + (input[35] * weights[23][35])) / 10000) + biases[23])
82
+
    let weighted_sum25 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[24][0]) + (input[1] * weights[24][1])) + (input[2] * weights[24][2])) + (input[3] * weights[24][3])) + (input[4] * weights[24][4])) + (input[5] * weights[24][5])) + (input[6] * weights[24][6])) + (input[7] * weights[24][7])) + (input[8] * weights[24][8])) + (input[9] * weights[24][9])) + (input[10] * weights[24][10])) + (input[11] * weights[24][11])) + (input[12] * weights[24][12])) + (input[13] * weights[24][13])) + (input[14] * weights[24][14])) + (input[15] * weights[24][15])) + (input[16] * weights[24][16])) + (input[17] * weights[24][17])) + (input[18] * weights[24][18])) + (input[19] * weights[24][19])) + (input[20] * weights[24][20])) + (input[21] * weights[24][21])) + (input[22] * weights[24][22])) + (input[23] * weights[24][23])) + (input[24] * weights[24][24])) + (input[25] * weights[24][25])) + (input[26] * weights[24][26])) + (input[27] * weights[24][27])) + (input[28] * weights[24][28])) + (input[29] * weights[24][29])) + (input[30] * weights[24][30])) + (input[31] * weights[24][31])) + (input[32] * weights[24][32])) + (input[33] * weights[24][33])) + (input[34] * weights[24][34])) + (input[35] * weights[24][35])) / 10000) + biases[24])
83
+
    let weighted_sum26 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[25][0]) + (input[1] * weights[25][1])) + (input[2] * weights[25][2])) + (input[3] * weights[25][3])) + (input[4] * weights[25][4])) + (input[5] * weights[25][5])) + (input[6] * weights[25][6])) + (input[7] * weights[25][7])) + (input[8] * weights[25][8])) + (input[9] * weights[25][9])) + (input[10] * weights[25][10])) + (input[11] * weights[25][11])) + (input[12] * weights[25][12])) + (input[13] * weights[25][13])) + (input[14] * weights[25][14])) + (input[15] * weights[25][15])) + (input[16] * weights[25][16])) + (input[17] * weights[25][17])) + (input[18] * weights[25][18])) + (input[19] * weights[25][19])) + (input[20] * weights[25][20])) + (input[21] * weights[25][21])) + (input[22] * weights[25][22])) + (input[23] * weights[25][23])) + (input[24] * weights[25][24])) + (input[25] * weights[25][25])) + (input[26] * weights[25][26])) + (input[27] * weights[25][27])) + (input[28] * weights[25][28])) + (input[29] * weights[25][29])) + (input[30] * weights[25][30])) + (input[31] * weights[25][31])) + (input[32] * weights[25][32])) + (input[33] * weights[25][33])) + (input[34] * weights[25][34])) + (input[35] * weights[25][35])) / 10000) + biases[25])
84
+
    let weighted_sum27 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[26][0]) + (input[1] * weights[26][1])) + (input[2] * weights[26][2])) + (input[3] * weights[26][3])) + (input[4] * weights[26][4])) + (input[5] * weights[26][5])) + (input[6] * weights[26][6])) + (input[7] * weights[26][7])) + (input[8] * weights[26][8])) + (input[9] * weights[26][9])) + (input[10] * weights[26][10])) + (input[11] * weights[26][11])) + (input[12] * weights[26][12])) + (input[13] * weights[26][13])) + (input[14] * weights[26][14])) + (input[15] * weights[26][15])) + (input[16] * weights[26][16])) + (input[17] * weights[26][17])) + (input[18] * weights[26][18])) + (input[19] * weights[26][19])) + (input[20] * weights[26][20])) + (input[21] * weights[26][21])) + (input[22] * weights[26][22])) + (input[23] * weights[26][23])) + (input[24] * weights[26][24])) + (input[25] * weights[26][25])) + (input[26] * weights[26][26])) + (input[27] * weights[26][27])) + (input[28] * weights[26][28])) + (input[29] * weights[26][29])) + (input[30] * weights[26][30])) + (input[31] * weights[26][31])) + (input[32] * weights[26][32])) + (input[33] * weights[26][33])) + (input[34] * weights[26][34])) + (input[35] * weights[26][35])) / 10000) + biases[26])
85
+
    let weighted_sum28 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[27][0]) + (input[1] * weights[27][1])) + (input[2] * weights[27][2])) + (input[3] * weights[27][3])) + (input[4] * weights[27][4])) + (input[5] * weights[27][5])) + (input[6] * weights[27][6])) + (input[7] * weights[27][7])) + (input[8] * weights[27][8])) + (input[9] * weights[27][9])) + (input[10] * weights[27][10])) + (input[11] * weights[27][11])) + (input[12] * weights[27][12])) + (input[13] * weights[27][13])) + (input[14] * weights[27][14])) + (input[15] * weights[27][15])) + (input[16] * weights[27][16])) + (input[17] * weights[27][17])) + (input[18] * weights[27][18])) + (input[19] * weights[27][19])) + (input[20] * weights[27][20])) + (input[21] * weights[27][21])) + (input[22] * weights[27][22])) + (input[23] * weights[27][23])) + (input[24] * weights[27][24])) + (input[25] * weights[27][25])) + (input[26] * weights[27][26])) + (input[27] * weights[27][27])) + (input[28] * weights[27][28])) + (input[29] * weights[27][29])) + (input[30] * weights[27][30])) + (input[31] * weights[27][31])) + (input[32] * weights[27][32])) + (input[33] * weights[27][33])) + (input[34] * weights[27][34])) + (input[35] * weights[27][35])) / 10000) + biases[27])
86
+
    let weighted_sum29 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[28][0]) + (input[1] * weights[28][1])) + (input[2] * weights[28][2])) + (input[3] * weights[28][3])) + (input[4] * weights[28][4])) + (input[5] * weights[28][5])) + (input[6] * weights[28][6])) + (input[7] * weights[28][7])) + (input[8] * weights[28][8])) + (input[9] * weights[28][9])) + (input[10] * weights[28][10])) + (input[11] * weights[28][11])) + (input[12] * weights[28][12])) + (input[13] * weights[28][13])) + (input[14] * weights[28][14])) + (input[15] * weights[28][15])) + (input[16] * weights[28][16])) + (input[17] * weights[28][17])) + (input[18] * weights[28][18])) + (input[19] * weights[28][19])) + (input[20] * weights[28][20])) + (input[21] * weights[28][21])) + (input[22] * weights[28][22])) + (input[23] * weights[28][23])) + (input[24] * weights[28][24])) + (input[25] * weights[28][25])) + (input[26] * weights[28][26])) + (input[27] * weights[28][27])) + (input[28] * weights[28][28])) + (input[29] * weights[28][29])) + (input[30] * weights[28][30])) + (input[31] * weights[28][31])) + (input[32] * weights[28][32])) + (input[33] * weights[28][33])) + (input[34] * weights[28][34])) + (input[35] * weights[28][35])) / 10000) + biases[28])
87
+
    let weighted_sum30 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[29][0]) + (input[1] * weights[29][1])) + (input[2] * weights[29][2])) + (input[3] * weights[29][3])) + (input[4] * weights[29][4])) + (input[5] * weights[29][5])) + (input[6] * weights[29][6])) + (input[7] * weights[29][7])) + (input[8] * weights[29][8])) + (input[9] * weights[29][9])) + (input[10] * weights[29][10])) + (input[11] * weights[29][11])) + (input[12] * weights[29][12])) + (input[13] * weights[29][13])) + (input[14] * weights[29][14])) + (input[15] * weights[29][15])) + (input[16] * weights[29][16])) + (input[17] * weights[29][17])) + (input[18] * weights[29][18])) + (input[19] * weights[29][19])) + (input[20] * weights[29][20])) + (input[21] * weights[29][21])) + (input[22] * weights[29][22])) + (input[23] * weights[29][23])) + (input[24] * weights[29][24])) + (input[25] * weights[29][25])) + (input[26] * weights[29][26])) + (input[27] * weights[29][27])) + (input[28] * weights[29][28])) + (input[29] * weights[29][29])) + (input[30] * weights[29][30])) + (input[31] * weights[29][31])) + (input[32] * weights[29][32])) + (input[33] * weights[29][33])) + (input[34] * weights[29][34])) + (input[35] * weights[29][35])) / 10000) + biases[29])
88
+
    let weighted_sum31 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[30][0]) + (input[1] * weights[30][1])) + (input[2] * weights[30][2])) + (input[3] * weights[30][3])) + (input[4] * weights[30][4])) + (input[5] * weights[30][5])) + (input[6] * weights[30][6])) + (input[7] * weights[30][7])) + (input[8] * weights[30][8])) + (input[9] * weights[30][9])) + (input[10] * weights[30][10])) + (input[11] * weights[30][11])) + (input[12] * weights[30][12])) + (input[13] * weights[30][13])) + (input[14] * weights[30][14])) + (input[15] * weights[30][15])) + (input[16] * weights[30][16])) + (input[17] * weights[30][17])) + (input[18] * weights[30][18])) + (input[19] * weights[30][19])) + (input[20] * weights[30][20])) + (input[21] * weights[30][21])) + (input[22] * weights[30][22])) + (input[23] * weights[30][23])) + (input[24] * weights[30][24])) + (input[25] * weights[30][25])) + (input[26] * weights[30][26])) + (input[27] * weights[30][27])) + (input[28] * weights[30][28])) + (input[29] * weights[30][29])) + (input[30] * weights[30][30])) + (input[31] * weights[30][31])) + (input[32] * weights[30][32])) + (input[33] * weights[30][33])) + (input[34] * weights[30][34])) + (input[35] * weights[30][35])) / 10000) + biases[30])
89
+
    let weighted_sum32 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[31][0]) + (input[1] * weights[31][1])) + (input[2] * weights[31][2])) + (input[3] * weights[31][3])) + (input[4] * weights[31][4])) + (input[5] * weights[31][5])) + (input[6] * weights[31][6])) + (input[7] * weights[31][7])) + (input[8] * weights[31][8])) + (input[9] * weights[31][9])) + (input[10] * weights[31][10])) + (input[11] * weights[31][11])) + (input[12] * weights[31][12])) + (input[13] * weights[31][13])) + (input[14] * weights[31][14])) + (input[15] * weights[31][15])) + (input[16] * weights[31][16])) + (input[17] * weights[31][17])) + (input[18] * weights[31][18])) + (input[19] * weights[31][19])) + (input[20] * weights[31][20])) + (input[21] * weights[31][21])) + (input[22] * weights[31][22])) + (input[23] * weights[31][23])) + (input[24] * weights[31][24])) + (input[25] * weights[31][25])) + (input[26] * weights[31][26])) + (input[27] * weights[31][27])) + (input[28] * weights[31][28])) + (input[29] * weights[31][29])) + (input[30] * weights[31][30])) + (input[31] * weights[31][31])) + (input[32] * weights[31][32])) + (input[33] * weights[31][33])) + (input[34] * weights[31][34])) + (input[35] * weights[31][35])) / 10000) + biases[31])
90
+
    let weighted_sum33 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[32][0]) + (input[1] * weights[32][1])) + (input[2] * weights[32][2])) + (input[3] * weights[32][3])) + (input[4] * weights[32][4])) + (input[5] * weights[32][5])) + (input[6] * weights[32][6])) + (input[7] * weights[32][7])) + (input[8] * weights[32][8])) + (input[9] * weights[32][9])) + (input[10] * weights[32][10])) + (input[11] * weights[32][11])) + (input[12] * weights[32][12])) + (input[13] * weights[32][13])) + (input[14] * weights[32][14])) + (input[15] * weights[32][15])) + (input[16] * weights[32][16])) + (input[17] * weights[32][17])) + (input[18] * weights[32][18])) + (input[19] * weights[32][19])) + (input[20] * weights[32][20])) + (input[21] * weights[32][21])) + (input[22] * weights[32][22])) + (input[23] * weights[32][23])) + (input[24] * weights[32][24])) + (input[25] * weights[32][25])) + (input[26] * weights[32][26])) + (input[27] * weights[32][27])) + (input[28] * weights[32][28])) + (input[29] * weights[32][29])) + (input[30] * weights[32][30])) + (input[31] * weights[32][31])) + (input[32] * weights[32][32])) + (input[33] * weights[32][33])) + (input[34] * weights[32][34])) + (input[35] * weights[32][35])) / 10000) + biases[32])
91
+
    let weighted_sum34 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[33][0]) + (input[1] * weights[33][1])) + (input[2] * weights[33][2])) + (input[3] * weights[33][3])) + (input[4] * weights[33][4])) + (input[5] * weights[33][5])) + (input[6] * weights[33][6])) + (input[7] * weights[33][7])) + (input[8] * weights[33][8])) + (input[9] * weights[33][9])) + (input[10] * weights[33][10])) + (input[11] * weights[33][11])) + (input[12] * weights[33][12])) + (input[13] * weights[33][13])) + (input[14] * weights[33][14])) + (input[15] * weights[33][15])) + (input[16] * weights[33][16])) + (input[17] * weights[33][17])) + (input[18] * weights[33][18])) + (input[19] * weights[33][19])) + (input[20] * weights[33][20])) + (input[21] * weights[33][21])) + (input[22] * weights[33][22])) + (input[23] * weights[33][23])) + (input[24] * weights[33][24])) + (input[25] * weights[33][25])) + (input[26] * weights[33][26])) + (input[27] * weights[33][27])) + (input[28] * weights[33][28])) + (input[29] * weights[33][29])) + (input[30] * weights[33][30])) + (input[31] * weights[33][31])) + (input[32] * weights[33][32])) + (input[33] * weights[33][33])) + (input[34] * weights[33][34])) + (input[35] * weights[33][35])) / 10000) + biases[33])
92
+
    let weighted_sum35 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[34][0]) + (input[1] * weights[34][1])) + (input[2] * weights[34][2])) + (input[3] * weights[34][3])) + (input[4] * weights[34][4])) + (input[5] * weights[34][5])) + (input[6] * weights[34][6])) + (input[7] * weights[34][7])) + (input[8] * weights[34][8])) + (input[9] * weights[34][9])) + (input[10] * weights[34][10])) + (input[11] * weights[34][11])) + (input[12] * weights[34][12])) + (input[13] * weights[34][13])) + (input[14] * weights[34][14])) + (input[15] * weights[34][15])) + (input[16] * weights[34][16])) + (input[17] * weights[34][17])) + (input[18] * weights[34][18])) + (input[19] * weights[34][19])) + (input[20] * weights[34][20])) + (input[21] * weights[34][21])) + (input[22] * weights[34][22])) + (input[23] * weights[34][23])) + (input[24] * weights[34][24])) + (input[25] * weights[34][25])) + (input[26] * weights[34][26])) + (input[27] * weights[34][27])) + (input[28] * weights[34][28])) + (input[29] * weights[34][29])) + (input[30] * weights[34][30])) + (input[31] * weights[34][31])) + (input[32] * weights[34][32])) + (input[33] * weights[34][33])) + (input[34] * weights[34][34])) + (input[35] * weights[34][35])) / 10000) + biases[34])
93
+
    let weighted_sum36 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[35][0]) + (input[1] * weights[35][1])) + (input[2] * weights[35][2])) + (input[3] * weights[35][3])) + (input[4] * weights[35][4])) + (input[5] * weights[35][5])) + (input[6] * weights[35][6])) + (input[7] * weights[35][7])) + (input[8] * weights[35][8])) + (input[9] * weights[35][9])) + (input[10] * weights[35][10])) + (input[11] * weights[35][11])) + (input[12] * weights[35][12])) + (input[13] * weights[35][13])) + (input[14] * weights[35][14])) + (input[15] * weights[35][15])) + (input[16] * weights[35][16])) + (input[17] * weights[35][17])) + (input[18] * weights[35][18])) + (input[19] * weights[35][19])) + (input[20] * weights[35][20])) + (input[21] * weights[35][21])) + (input[22] * weights[35][22])) + (input[23] * weights[35][23])) + (input[24] * weights[35][24])) + (input[25] * weights[35][25])) + (input[26] * weights[35][26])) + (input[27] * weights[35][27])) + (input[28] * weights[35][28])) + (input[29] * weights[35][29])) + (input[30] * weights[35][30])) + (input[31] * weights[35][31])) + (input[32] * weights[35][32])) + (input[33] * weights[35][33])) + (input[34] * weights[35][34])) + (input[35] * weights[35][35])) / 10000) + biases[35])
94
+
[weighted_sum1, weighted_sum2, weighted_sum3, weighted_sum4, weighted_sum5, weighted_sum6, weighted_sum7, weighted_sum8, weighted_sum9, weighted_sum10, weighted_sum11, weighted_sum12, weighted_sum13, weighted_sum14, weighted_sum15, weighted_sum16, weighted_sum17, weighted_sum18, weighted_sum19, weighted_sum20, weighted_sum21, weighted_sum22, weighted_sum23, weighted_sum24, weighted_sum25, weighted_sum26, weighted_sum27, weighted_sum28, weighted_sum29, weighted_sum30, weighted_sum31, weighted_sum32, weighted_sum33, weighted_sum34, weighted_sum35, weighted_sum36]
22
95
 
    }
96
+
97
+
98
+
func linear_forward_3 (input,weights,biases) = {
99
+
    let weighted_sum1 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[0][0]) + (input[1] * weights[0][1])) + (input[2] * weights[0][2])) + (input[3] * weights[0][3])) + (input[4] * weights[0][4])) + (input[5] * weights[0][5])) + (input[6] * weights[0][6])) + (input[7] * weights[0][7])) + (input[8] * weights[0][8])) + (input[9] * weights[0][9])) + (input[10] * weights[0][10])) + (input[11] * weights[0][11])) + (input[12] * weights[0][12])) + (input[13] * weights[0][13])) + (input[14] * weights[0][14])) + (input[15] * weights[0][15])) + (input[16] * weights[0][16])) + (input[17] * weights[0][17])) + (input[18] * weights[0][18])) + (input[19] * weights[0][19])) + (input[20] * weights[0][20])) + (input[21] * weights[0][21])) + (input[22] * weights[0][22])) + (input[23] * weights[0][23])) + (input[24] * weights[0][24])) + (input[25] * weights[0][25])) + (input[26] * weights[0][26])) + (input[27] * weights[0][27])) + (input[28] * weights[0][28])) + (input[29] * weights[0][29])) + (input[30] * weights[0][30])) + (input[31] * weights[0][31])) + (input[32] * weights[0][32])) + (input[33] * weights[0][33])) + (input[34] * weights[0][34])) + (input[35] * weights[0][35])) / 10000) + biases[0])
100
+
    let weighted_sum2 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[1][0]) + (input[1] * weights[1][1])) + (input[2] * weights[1][2])) + (input[3] * weights[1][3])) + (input[4] * weights[1][4])) + (input[5] * weights[1][5])) + (input[6] * weights[1][6])) + (input[7] * weights[1][7])) + (input[8] * weights[1][8])) + (input[9] * weights[1][9])) + (input[10] * weights[1][10])) + (input[11] * weights[1][11])) + (input[12] * weights[1][12])) + (input[13] * weights[1][13])) + (input[14] * weights[1][14])) + (input[15] * weights[1][15])) + (input[16] * weights[1][16])) + (input[17] * weights[1][17])) + (input[18] * weights[1][18])) + (input[19] * weights[1][19])) + (input[20] * weights[1][20])) + (input[21] * weights[1][21])) + (input[22] * weights[1][22])) + (input[23] * weights[1][23])) + (input[24] * weights[1][24])) + (input[25] * weights[1][25])) + (input[26] * weights[1][26])) + (input[27] * weights[1][27])) + (input[28] * weights[1][28])) + (input[29] * weights[1][29])) + (input[30] * weights[1][30])) + (input[31] * weights[1][31])) + (input[32] * weights[1][32])) + (input[33] * weights[1][33])) + (input[34] * weights[1][34])) + (input[35] * weights[1][35])) / 10000) + biases[1])
101
+
    let weighted_sum3 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[2][0]) + (input[1] * weights[2][1])) + (input[2] * weights[2][2])) + (input[3] * weights[2][3])) + (input[4] * weights[2][4])) + (input[5] * weights[2][5])) + (input[6] * weights[2][6])) + (input[7] * weights[2][7])) + (input[8] * weights[2][8])) + (input[9] * weights[2][9])) + (input[10] * weights[2][10])) + (input[11] * weights[2][11])) + (input[12] * weights[2][12])) + (input[13] * weights[2][13])) + (input[14] * weights[2][14])) + (input[15] * weights[2][15])) + (input[16] * weights[2][16])) + (input[17] * weights[2][17])) + (input[18] * weights[2][18])) + (input[19] * weights[2][19])) + (input[20] * weights[2][20])) + (input[21] * weights[2][21])) + (input[22] * weights[2][22])) + (input[23] * weights[2][23])) + (input[24] * weights[2][24])) + (input[25] * weights[2][25])) + (input[26] * weights[2][26])) + (input[27] * weights[2][27])) + (input[28] * weights[2][28])) + (input[29] * weights[2][29])) + (input[30] * weights[2][30])) + (input[31] * weights[2][31])) + (input[32] * weights[2][32])) + (input[33] * weights[2][33])) + (input[34] * weights[2][34])) + (input[35] * weights[2][35])) / 10000) + biases[2])
102
+
    let weighted_sum4 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[3][0]) + (input[1] * weights[3][1])) + (input[2] * weights[3][2])) + (input[3] * weights[3][3])) + (input[4] * weights[3][4])) + (input[5] * weights[3][5])) + (input[6] * weights[3][6])) + (input[7] * weights[3][7])) + (input[8] * weights[3][8])) + (input[9] * weights[3][9])) + (input[10] * weights[3][10])) + (input[11] * weights[3][11])) + (input[12] * weights[3][12])) + (input[13] * weights[3][13])) + (input[14] * weights[3][14])) + (input[15] * weights[3][15])) + (input[16] * weights[3][16])) + (input[17] * weights[3][17])) + (input[18] * weights[3][18])) + (input[19] * weights[3][19])) + (input[20] * weights[3][20])) + (input[21] * weights[3][21])) + (input[22] * weights[3][22])) + (input[23] * weights[3][23])) + (input[24] * weights[3][24])) + (input[25] * weights[3][25])) + (input[26] * weights[3][26])) + (input[27] * weights[3][27])) + (input[28] * weights[3][28])) + (input[29] * weights[3][29])) + (input[30] * weights[3][30])) + (input[31] * weights[3][31])) + (input[32] * weights[3][32])) + (input[33] * weights[3][33])) + (input[34] * weights[3][34])) + (input[35] * weights[3][35])) / 10000) + biases[3])
103
+
    let weighted_sum5 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[4][0]) + (input[1] * weights[4][1])) + (input[2] * weights[4][2])) + (input[3] * weights[4][3])) + (input[4] * weights[4][4])) + (input[5] * weights[4][5])) + (input[6] * weights[4][6])) + (input[7] * weights[4][7])) + (input[8] * weights[4][8])) + (input[9] * weights[4][9])) + (input[10] * weights[4][10])) + (input[11] * weights[4][11])) + (input[12] * weights[4][12])) + (input[13] * weights[4][13])) + (input[14] * weights[4][14])) + (input[15] * weights[4][15])) + (input[16] * weights[4][16])) + (input[17] * weights[4][17])) + (input[18] * weights[4][18])) + (input[19] * weights[4][19])) + (input[20] * weights[4][20])) + (input[21] * weights[4][21])) + (input[22] * weights[4][22])) + (input[23] * weights[4][23])) + (input[24] * weights[4][24])) + (input[25] * weights[4][25])) + (input[26] * weights[4][26])) + (input[27] * weights[4][27])) + (input[28] * weights[4][28])) + (input[29] * weights[4][29])) + (input[30] * weights[4][30])) + (input[31] * weights[4][31])) + (input[32] * weights[4][32])) + (input[33] * weights[4][33])) + (input[34] * weights[4][34])) + (input[35] * weights[4][35])) / 10000) + biases[4])
104
+
    let weighted_sum6 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[5][0]) + (input[1] * weights[5][1])) + (input[2] * weights[5][2])) + (input[3] * weights[5][3])) + (input[4] * weights[5][4])) + (input[5] * weights[5][5])) + (input[6] * weights[5][6])) + (input[7] * weights[5][7])) + (input[8] * weights[5][8])) + (input[9] * weights[5][9])) + (input[10] * weights[5][10])) + (input[11] * weights[5][11])) + (input[12] * weights[5][12])) + (input[13] * weights[5][13])) + (input[14] * weights[5][14])) + (input[15] * weights[5][15])) + (input[16] * weights[5][16])) + (input[17] * weights[5][17])) + (input[18] * weights[5][18])) + (input[19] * weights[5][19])) + (input[20] * weights[5][20])) + (input[21] * weights[5][21])) + (input[22] * weights[5][22])) + (input[23] * weights[5][23])) + (input[24] * weights[5][24])) + (input[25] * weights[5][25])) + (input[26] * weights[5][26])) + (input[27] * weights[5][27])) + (input[28] * weights[5][28])) + (input[29] * weights[5][29])) + (input[30] * weights[5][30])) + (input[31] * weights[5][31])) + (input[32] * weights[5][32])) + (input[33] * weights[5][33])) + (input[34] * weights[5][34])) + (input[35] * weights[5][35])) / 10000) + biases[5])
105
+
    let weighted_sum7 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[6][0]) + (input[1] * weights[6][1])) + (input[2] * weights[6][2])) + (input[3] * weights[6][3])) + (input[4] * weights[6][4])) + (input[5] * weights[6][5])) + (input[6] * weights[6][6])) + (input[7] * weights[6][7])) + (input[8] * weights[6][8])) + (input[9] * weights[6][9])) + (input[10] * weights[6][10])) + (input[11] * weights[6][11])) + (input[12] * weights[6][12])) + (input[13] * weights[6][13])) + (input[14] * weights[6][14])) + (input[15] * weights[6][15])) + (input[16] * weights[6][16])) + (input[17] * weights[6][17])) + (input[18] * weights[6][18])) + (input[19] * weights[6][19])) + (input[20] * weights[6][20])) + (input[21] * weights[6][21])) + (input[22] * weights[6][22])) + (input[23] * weights[6][23])) + (input[24] * weights[6][24])) + (input[25] * weights[6][25])) + (input[26] * weights[6][26])) + (input[27] * weights[6][27])) + (input[28] * weights[6][28])) + (input[29] * weights[6][29])) + (input[30] * weights[6][30])) + (input[31] * weights[6][31])) + (input[32] * weights[6][32])) + (input[33] * weights[6][33])) + (input[34] * weights[6][34])) + (input[35] * weights[6][35])) / 10000) + biases[6])
106
+
    let weighted_sum8 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[7][0]) + (input[1] * weights[7][1])) + (input[2] * weights[7][2])) + (input[3] * weights[7][3])) + (input[4] * weights[7][4])) + (input[5] * weights[7][5])) + (input[6] * weights[7][6])) + (input[7] * weights[7][7])) + (input[8] * weights[7][8])) + (input[9] * weights[7][9])) + (input[10] * weights[7][10])) + (input[11] * weights[7][11])) + (input[12] * weights[7][12])) + (input[13] * weights[7][13])) + (input[14] * weights[7][14])) + (input[15] * weights[7][15])) + (input[16] * weights[7][16])) + (input[17] * weights[7][17])) + (input[18] * weights[7][18])) + (input[19] * weights[7][19])) + (input[20] * weights[7][20])) + (input[21] * weights[7][21])) + (input[22] * weights[7][22])) + (input[23] * weights[7][23])) + (input[24] * weights[7][24])) + (input[25] * weights[7][25])) + (input[26] * weights[7][26])) + (input[27] * weights[7][27])) + (input[28] * weights[7][28])) + (input[29] * weights[7][29])) + (input[30] * weights[7][30])) + (input[31] * weights[7][31])) + (input[32] * weights[7][32])) + (input[33] * weights[7][33])) + (input[34] * weights[7][34])) + (input[35] * weights[7][35])) / 10000) + biases[7])
107
+
    let weighted_sum9 = ((((((((((((((((((((((((((((((((((((((input[0] * weights[8][0]) + (input[1] * weights[8][1])) + (input[2] * weights[8][2])) + (input[3] * weights[8][3])) + (input[4] * weights[8][4])) + (input[5] * weights[8][5])) + (input[6] * weights[8][6])) + (input[7] * weights[8][7])) + (input[8] * weights[8][8])) + (input[9] * weights[8][9])) + (input[10] * weights[8][10])) + (input[11] * weights[8][11])) + (input[12] * weights[8][12])) + (input[13] * weights[8][13])) + (input[14] * weights[8][14])) + (input[15] * weights[8][15])) + (input[16] * weights[8][16])) + (input[17] * weights[8][17])) + (input[18] * weights[8][18])) + (input[19] * weights[8][19])) + (input[20] * weights[8][20])) + (input[21] * weights[8][21])) + (input[22] * weights[8][22])) + (input[23] * weights[8][23])) + (input[24] * weights[8][24])) + (input[25] * weights[8][25])) + (input[26] * weights[8][26])) + (input[27] * weights[8][27])) + (input[28] * weights[8][28])) + (input[29] * weights[8][29])) + (input[30] * weights[8][30])) + (input[31] * weights[8][31])) + (input[32] * weights[8][32])) + (input[33] * weights[8][33])) + (input[34] * weights[8][34])) + (input[35] * weights[8][35])) / 10000) + biases[8])
108
+
[weighted_sum1, weighted_sum2, weighted_sum3, weighted_sum4, weighted_sum5, weighted_sum6, weighted_sum7, weighted_sum8, weighted_sum9]
109
+
    }
110
+
111
+
112
+
func relu (input) = if ((0 > input))
113
+
    then 0
114
+
    else input
115
+
116
+
117
+
func relu_activation (inputs,num_outputs) = if ((num_outputs == 1))
118
+
    then [relu(inputs[0])]
119
+
    else [relu(inputs[0]), relu(inputs[1]), relu(inputs[2]), relu(inputs[3]), relu(inputs[4]), relu(inputs[5]), relu(inputs[6]), relu(inputs[7]), relu(inputs[8]), relu(inputs[9]), relu(inputs[10]), relu(inputs[11]), relu(inputs[12]), relu(inputs[13]), relu(inputs[14]), relu(inputs[15]), relu(inputs[16]), relu(inputs[17]), relu(inputs[18]), relu(inputs[19]), relu(inputs[20]), relu(inputs[21]), relu(inputs[22]), relu(inputs[23]), relu(inputs[24]), relu(inputs[25]), relu(inputs[26]), relu(inputs[27]), relu(inputs[28]), relu(inputs[29]), relu(inputs[30]), relu(inputs[31]), relu(inputs[32]), relu(inputs[33]), relu(inputs[34]), relu(inputs[35])]
23
120
 
24
121
 
25
122
 
func sigmoid (input) = if ((-80000 > input))
26
123
 
    then 0
27
124
 
    else if ((-60000 > input))
28
125
 
        then fraction((input + 80000), 125, 10000)
29
126
 
        else if ((-40000 > input))
30
127
 
            then fraction((input + 60000), 100, 10000)
31
128
 
            else if ((-20000 > input))
32
129
 
                then fraction((input + 40000), 75, 10000)
33
130
 
                else if ((0 > input))
34
131
 
                    then fraction((input + 20000), 50, 10000)
35
132
 
                    else if ((20000 > input))
36
133
 
                        then (fraction(input, 50, 10000) + 5000)
37
134
 
                        else if ((40000 > input))
38
135
 
                            then (fraction((input - 20000), 75, 10000) + 7500)
39
136
 
                            else if ((60000 > input))
40
137
 
                                then (fraction((input - 40000), 100, 10000) + 8750)
41
138
 
                                else if ((80000 > input))
42
139
 
                                    then (fraction((input - 60000), 125, 10000) + 9375)
43
140
 
                                    else 10000
44
141
 
45
142
 
46
143
 
func sigmoid_activation (inputs,num_outputs) = if ((num_outputs == 1))
47
144
 
    then [sigmoid(inputs[0])]
48
-
    else [sigmoid(inputs[0]), sigmoid(inputs[1])]
145
+
    else [sigmoid(inputs[0]), sigmoid(inputs[1]), sigmoid(inputs[2]), sigmoid(inputs[3]), sigmoid(inputs[4]), sigmoid(inputs[5]), sigmoid(inputs[6]), sigmoid(inputs[7]), sigmoid(inputs[8])]
49
146
 
50
147
 
51
148
 
@Callable(i)
52
149
 
func predict (inputs) = {
53
150
 
    let x1_scaled = (inputs[0] * 10000)
54
151
 
    let x2_scaled = (inputs[1] * 10000)
55
-
    let scaled_inputs = [x1_scaled, x2_scaled]
152
+
    let x3_scaled = (inputs[2] * 10000)
153
+
    let x4_scaled = (inputs[3] * 10000)
154
+
    let x5_scaled = (inputs[4] * 10000)
155
+
    let x6_scaled = (inputs[5] * 10000)
156
+
    let x7_scaled = (inputs[6] * 10000)
157
+
    let x8_scaled = (inputs[7] * 10000)
158
+
    let x9_scaled = (inputs[8] * 10000)
159
+
    let scaled_inputs = [x1_scaled, x2_scaled, x3_scaled, x4_scaled, x5_scaled, x6_scaled, x7_scaled, x8_scaled, x9_scaled]
56
160
 
    let z1 = linear_forward_1(scaled_inputs, weights_layer_1, biases_layer_1)
57
-
    let a1 = sigmoid_activation(z1, 2)
161
+
    let a1 = relu_activation(z1, 36)
58
162
 
    let z2 = linear_forward_2(a1, weights_layer_2, biases_layer_2)
59
-
    let a2 = sigmoid_activation(z2, 1)
60
-
    let result0 = a2[0]
163
+
    let a2 = relu_activation(z2, 36)
164
+
    let z3 = linear_forward_3(a2, weights_layer_3, biases_layer_3)
165
+
    let a3 = sigmoid_activation(z3, 9)
166
+
    let result0 = a3[0]
167
+
    let result1 = a3[1]
168
+
    let result2 = a3[2]
169
+
    let result3 = a3[3]
170
+
    let result4 = a3[4]
171
+
    let result5 = a3[5]
172
+
    let result6 = a3[6]
173
+
    let result7 = a3[7]
174
+
    let result8 = a3[8]
61
175
 
    let debug_outputs = nil
62
-
    ([IntegerEntry("move_prediction_0", result0)] ++ debug_outputs)
176
+
    ([IntegerEntry("move_prediction_0", result0), IntegerEntry("move_prediction_1", result1), IntegerEntry("move_prediction_2", result2), IntegerEntry("move_prediction_3", result3), IntegerEntry("move_prediction_4", result4), IntegerEntry("move_prediction_5", result5), IntegerEntry("move_prediction_6", result6), IntegerEntry("move_prediction_7", result7), IntegerEntry("move_prediction_8", result8)] ++ debug_outputs)
63
177
 
    }
64
178
 
65
179
 

github/deemru/w8io/169f3d6 
219.02 ms ◑