decreasing first layer node count to avoid gpu memory overflow
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c682962c8f
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c81a7b4468
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@ -17,12 +17,12 @@ def create_base_rnn_network(input_dim):
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'''
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'''
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inp = Input(shape=input_dim)
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inp = Input(shape=input_dim)
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# ls0 = LSTM(512, return_sequences=True)(inp)
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# ls0 = LSTM(512, return_sequences=True)(inp)
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ls1 = Bidirectional(LSTM(256, return_sequences=True))(inp)
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ls1 = Bidirectional(LSTM(128, return_sequences=True))(inp)
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ls2 = LSTM(128, return_sequences=True)(ls1)
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ls2 = LSTM(128, return_sequences=True)(ls1)
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# ls3 = LSTM(32, return_sequences=True)(ls2)
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# ls3 = LSTM(32, return_sequences=True)(ls2)
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ls4 = LSTM(64)(ls2)
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ls4 = LSTM(64)(ls2)
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# d1 = Dense(128, activation='relu')(ls4)
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# d1 = Dense(128, activation='relu')(ls4)
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d2 = Dense(64, activation='relu')(ls4)
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#d2 = Dense(64, activation='relu')(ls2)
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return Model(inp, ls4)
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return Model(inp, ls4)
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