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honnet_brain_architecture.txt
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honnet_brain_architecture.txt
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____________________________________________________________________________________________________
Layer (type) Output Shape Param # Connected to
====================================================================================================
hero_input (InputLayer) (None, 520) 0
____________________________________________________________________________________________________
reshape_1 (Reshape) (None, 1, 2, 260) 0 hero_input[0][0]
____________________________________________________________________________________________________
permute_1 (Permute) (None, 2, 260, 1) 0 reshape_1[0][0]
____________________________________________________________________________________________________
convolution2d_1 (Convolution2D) (None, 2, 1, 135) 35235 permute_1[0][0]
____________________________________________________________________________________________________
batchnormalization_1 (BatchNorma (None, 2, 1, 135) 540 convolution2d_1[0][0]
____________________________________________________________________________________________________
activation_1 (Activation) (None, 2, 1, 135) 0 batchnormalization_1[0][0]
____________________________________________________________________________________________________
convolution2d_2 (Convolution2D) (None, 2, 1, 64) 8704 activation_1[0][0]
____________________________________________________________________________________________________
batchnormalization_2 (BatchNorma (None, 2, 1, 64) 256 convolution2d_2[0][0]
____________________________________________________________________________________________________
activation_2 (Activation) (None, 2, 1, 64) 0 batchnormalization_2[0][0]
____________________________________________________________________________________________________
flatten_1 (Flatten) (None, 128) 0 activation_2[0][0]
____________________________________________________________________________________________________
dense_1 (Dense) (None, 128) 16512 flatten_1[0][0]
____________________________________________________________________________________________________
batchnormalization_3 (BatchNorma (None, 128) 512 dense_1[0][0]
____________________________________________________________________________________________________
activation_3 (Activation) (None, 128) 0 batchnormalization_3[0][0]
____________________________________________________________________________________________________
dropout_1 (Dropout) (None, 128) 0 activation_3[0][0]
____________________________________________________________________________________________________
dense_2 (Dense) (None, 128) 16512 dropout_1[0][0]
____________________________________________________________________________________________________
batchnormalization_4 (BatchNorma (None, 128) 512 dense_2[0][0]
____________________________________________________________________________________________________
activation_4 (Activation) (None, 128) 0 batchnormalization_4[0][0]
____________________________________________________________________________________________________
dropout_2 (Dropout) (None, 128) 0 activation_4[0][0]
____________________________________________________________________________________________________
dense_3 (Dense) (None, 128) 16512 dropout_2[0][0]
____________________________________________________________________________________________________
batchnormalization_5 (BatchNorma (None, 128) 512 dense_3[0][0]
____________________________________________________________________________________________________
activation_5 (Activation) (None, 128) 0 batchnormalization_5[0][0]
____________________________________________________________________________________________________
dropout_3 (Dropout) (None, 128) 0 activation_5[0][0]
____________________________________________________________________________________________________
out_winner (Dense) (None, 2) 258 dropout_3[0][0]
____________________________________________________________________________________________________
out_concede (Dense) (None, 1) 129 dropout_3[0][0]
____________________________________________________________________________________________________
out_secs (Dense) (None, 1) 129 dropout_3[0][0]
====================================================================================================
Total params: 96,323
Trainable params: 95,157
Non-trainable params: 1,166
____________________________________________________________________________________________________