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model_summary.txt
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model_summary.txt
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Model: "sequential"
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
batch_normalization (BatchN (None, 49, 40) 160
ormalization)
conv1d (Conv1D) (None, 49, 32) 3872
batch_normalization_1 (Batc (None, 49, 32) 128
hNormalization)
max_pooling1d (MaxPooling1D (None, 16, 32) 0
)
conv1d_1 (Conv1D) (None, 16, 64) 6208
batch_normalization_2 (Batc (None, 16, 64) 256
hNormalization)
max_pooling1d_1 (MaxPooling (None, 5, 64) 0
1D)
conv1d_2 (Conv1D) (None, 5, 128) 24704
batch_normalization_3 (Batc (None, 5, 128) 512
hNormalization)
max_pooling1d_2 (MaxPooling (None, 2, 128) 0
1D)
dropout (Dropout) (None, 2, 128) 0
lstm (LSTM) (None, 2, 128) 131584
seq_self_attention (SeqSelf (None, 2, 128) 8257
Attention)
lstm_1 (LSTM) (None, 128) 131584
batch_normalization_4 (Batc (None, 128) 512
hNormalization)
dropout_1 (Dropout) (None, 128) 0
dense (Dense) (None, 256) 33024
dense_1 (Dense) (None, 64) 16448
dropout_2 (Dropout) (None, 64) 0
dense_2 (Dense) (None, 25) 1625
=================================================================
Total params: 358,874
Trainable params: 358,090
Non-trainable params: 784
_________________________________________________________________