Commit d631b3ba authored by Florian RICHOUX's avatar Florian RICHOUX

Long training LSTM 32 on double


Former-commit-id: 6f1c436e
parent d5d35336
__________________________________________________________________________________________________
Layer (type) Output Shape Param # Connected to
==================================================================================================
protein1 (InputLayer) (None, None) 0
__________________________________________________________________________________________________
protein2 (InputLayer) (None, None) 0
__________________________________________________________________________________________________
embedding_1 (Embedding) (None, None, 4) 84 protein1[0][0]
protein2[0][0]
__________________________________________________________________________________________________
lstm_1 (LSTM) (None, None, 64) 17664 embedding_1[0][0]
embedding_1[1][0]
__________________________________________________________________________________________________
lstm_2 (LSTM) (None, 64) 33024 lstm_1[0][0]
lstm_1[1][0]
__________________________________________________________________________________________________
concatenate_1 (Concatenate) (None, 128) 0 lstm_2[0][0]
lstm_2[1][0]
__________________________________________________________________________________________________
dense_1 (Dense) (None, 100) 12900 concatenate_1[0][0]
__________________________________________________________________________________________________
batch_normalization_1 (BatchNor (None, 100) 400 dense_1[0][0]
__________________________________________________________________________________________________
dense_2 (Dense) (None, 100) 10100 batch_normalization_1[0][0]
__________________________________________________________________________________________________
batch_normalization_2 (BatchNor (None, 100) 400 dense_2[0][0]
__________________________________________________________________________________________________
dense_3 (Dense) (None, 50) 5050 batch_normalization_2[0][0]
__________________________________________________________________________________________________
batch_normalization_3 (BatchNor (None, 50) 200 dense_3[0][0]
__________________________________________________________________________________________________
dense_4 (Dense) (None, 50) 2550 batch_normalization_3[0][0]
__________________________________________________________________________________________________
batch_normalization_4 (BatchNor (None, 50) 200 dense_4[0][0]
__________________________________________________________________________________________________
dense_5 (Dense) (None, 50) 2550 batch_normalization_4[0][0]
__________________________________________________________________________________________________
batch_normalization_5 (BatchNor (None, 50) 200 dense_5[0][0]
__________________________________________________________________________________________________
dense_6 (Dense) (None, 25) 1275 batch_normalization_5[0][0]
__________________________________________________________________________________________________
batch_normalization_6 (BatchNor (None, 25) 100 dense_6[0][0]
__________________________________________________________________________________________________
dense_7 (Dense) (None, 25) 650 batch_normalization_6[0][0]
__________________________________________________________________________________________________
batch_normalization_7 (BatchNor (None, 25) 100 dense_7[0][0]
__________________________________________________________________________________________________
dense_8 (Dense) (None, 25) 650 batch_normalization_7[0][0]
__________________________________________________________________________________________________
batch_normalization_8 (BatchNor (None, 25) 100 dense_8[0][0]
__________________________________________________________________________________________________
dense_9 (Dense) (None, 25) 650 batch_normalization_8[0][0]
__________________________________________________________________________________________________
batch_normalization_9 (BatchNor (None, 25) 100 dense_9[0][0]
__________________________________________________________________________________________________
dense_10 (Dense) (None, 1) 26 batch_normalization_9[0][0]
__________________________________________________________________________________________________
activation_1 (Activation) (None, 1) 0 dense_10[0][0]
==================================================================================================
Total params: 88,973
Trainable params: 88,073
Non-trainable params: 900
__________________________________________________________________________________________________
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