質問編集履歴
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test
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よろしくお願いします。
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モデルのコードは以下になります。
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```python
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'モデルA'
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X:input_data
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lstm_3 = tf.nn.rnn_cell.BasicLSTMCell(20, name='blstmc3')#
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lstm_4 = tf.nn.rnn_cell.BasicLSTMCell(20, name='blstmc4')#
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lstm_out_3 = tf.nn.dynamic_rnn(lstm_3,X,dtype=tf.float32,time_major=False)#
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lstm_out_4 = tf.nn.dynamic_rnn(lstm_4,lstm_out_3,dtype=tf.float32,time_major=False)#
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lstm_out_last = lstm_out_4[:,-1,:]##last output only
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W11 = weight_variable([20, 10])
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b11 = bias_variable([10])
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f_logit = tf.matmul(lstm_out_last, W11) + b11
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predict_vector = tf.nn.relu(f_logit)
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'モデルB'
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X:input_data
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lstm_1 = tf.nn.rnn_cell.BasicLSTMCell(10, name='blstmc1')#
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lstm_2 = tf.nn.rnn_cell.BasicLSTMCell(10, name='blstmc2')#
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lstm_3 = tf.nn.rnn_cell.BasicLSTMCell(20, name='blstmc3')#
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lstm_4 = tf.nn.rnn_cell.BasicLSTMCell(20, name='blstmc4')#
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lstm_out_1 = tf.nn.dynamic_rnn(lstm_1,X,dtype=tf.float32,time_major=False)#
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lstm_out_2 = tf.nn.dynamic_rnn(lstm_2,lstm_out_1,dtype=tf.float32,time_major=False)#
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lstm_out_3 = tf.nn.dynamic_rnn(lstm_3,lstm_out_2,dtype=tf.float32,time_major=False)#
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lstm_out_4 = tf.nn.dynamic_rnn(lstm_4,lstm_out_3,dtype=tf.float32,time_major=False)#
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lstm_out_last = lstm_out_4[:,-1,:]##last output only
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W11 = weight_variable([20, 10])
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b11 = bias_variable([10])
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f_logit = tf.matmul(lstm_out_last, W11) + b11
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predict_vector = tf.nn.relu(f_logit)
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```
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