diff options
Diffstat (limited to 'include/weights_5.c')
| -rw-r--r-- | include/weights_5.c | 1014 |
1 files changed, 284 insertions, 730 deletions
diff --git a/include/weights_5.c b/include/weights_5.c index d2238af..7e254f8 100644 --- a/include/weights_5.c +++ b/include/weights_5.c @@ -1,735 +1,289 @@ -/* - * Model: "model" - * _________________________________________________________________ - * Layer (type) Output Shape Param # - * ================================================================= - * input_1 (InputLayer) [(None, 28)] 0 - * - * dense (Dense) (None, 64) 1856 - * - * dense_1 (Dense) (None, 2) 130 - * - * ================================================================= - * Total params: 1,986 - * Trainable params: 1,986 - * Non-trainable params: 0 - * _________________________________________________________________ - * ([0.5177317261695862, 0.755382776260376], [0.5241230130195618, - * 0.7530876398086548]) - */ - +/* generated by nn_train.py, do not edit by hand */ +/* v098, val_corr=0.9123 */ #include "weights_5.h" -const float five_dense_weights[FIVE_DENSE_NUM][FIVE_INP_NUM] = { - {0.0335812121629715, 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five_dense_biases[FIVE_DENSE_NUM] = +{ + -2.24697518, -2.79671645, -2.29277706, -1.64123476, -2.97337246, -1.55279529, -1.48783553, -2.33274174, + -1.22874868, 2.39438224, -3.13994718, -1.4903506, -2.2855773, -1.14909065, -0.74406594, -2.89792275, + -3.12807941, -2.84854364, -2.97222972, -1.20280099, -2.2895298, 0.345206112, -0.404011369, -2.12997103, + 0.026584696, -1.72927654, -1.31738377, -2.38992381, -1.09590578, -2.08547592, -2.00498819, -2.67043161, + -1.79812217, -1.43836403, -1.71620834, -1.53693056, -0.234484181, -1.45272624, -1.72868788, -1.82437479, + -2.66851068, -2.93813992, -2.29339194, -1.71646988, -2.62597537, -1.40944898, -2.04996037, 1.15793979, + 1.40398467, -2.33760524, 1.23705673, -2.31002736, -0.673910081, 1.02907646, 1.49880397, -2.22889376, + -2.86746573, -2.31694722, -2.66456366, -2.4524951, -2.56475425, 0.264515311, -2.28604388, -1.6073668 +}; -const float five_output_weights[2][FIVE_DENSE_NUM] = { - {-0.10164133459329605, -0.06545510143041611, 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-0.15534670650959015, -0.10739737004041672, -0.10599866509437561, - -0.03090781159698963, 0.1024080142378807, 0.11164399981498718, - -0.10347762703895569, -0.09762325882911682, -0.044070787727832794, - -0.1382112205028534, 0.2635824978351593, -0.013381495140492916, - -0.017522230744361877, 0.09075458347797394, 0.08058229833841324, - -0.03840004280209541, 0.08596818149089813, -0.10802465677261353, - -0.17988164722919464, 0.08185803890228271, 0.09076226502656937, - 0.042497776448726654, -0.0991385206580162, -0.03188726678490639, - 0.0789727196097374, 0.12080144137144089, -0.12002957612276077, - 0.3941708207130432, 0.07739747315645218, -0.04954647645354271, - -0.10626203566789627, -0.054530855268239975, -0.19077910482883453, - 0.07939524203538895, 0.10724455863237381, -0.09315766394138336, - 0.07806982845067978}}; +const float five_logit_weights[FIVE_DENSE_NUM] NN_ALIGNED = +{ + 0.731341183, 2.23163199, 0.949222744, 0.296105713, 1.15792906, -3.42066145, 0.183252349, 1.14736974, + 1.31554925, 0.112483598, 1.14517629, -6.70101404, 1.21333194, -0.108623341, 0.0844625309, 1.39609873, + -2.15012026, 2.09257817, -1.00639415, 0.0941660404, 0.995582104, 0.0935992077, 0.140742123, 4.60981607, + -0.149704531, 1.17570782, -0.0730246454, -0.163265958, 1.5062983, 0.123115465, -1.43543541, 1.99429679, + -0.96264106, -0.183488742, 0.176509976, 0.478997976, -0.100140609, 1.20759714, 1.40249825, 1.35177362, + -0.17572777, -1.53293693, 1.50571012, -3.87809801, 0.552025557, -0.084801957, 6.23696709, -0.112289943, + 0.204722211, 0.951846004, -0.109762318, 0.919938505, -0.1393639, -0.47155264, 0.669605315, 3.53084946, + -1.02313769, 1.25685394, 0.606329083, -2.37867737, 0.991012573, 0.101894319, 4.19737768, -2.38213611 +}; -const float five_output_bias[2] = {0.3762611150741577, 0.6172211170196533}; +const float five_logit_bias = -1.19490004; |