LSTM 模型中未定义 Dropout_U 和 Dropout_W
[英]Dropout_U and Dropout_W is not defined in LSTM model
问题描述
I am facing this error
我正面临这个错误
NameError: name 'Dropout_U' is not defined
by creating an LSTM model通过创建 LSTM 模型
embed_dim = 128
lstm_out = 200
batch_size = 32
model = Sequential()
model.add(Embedding(2500, embed_dim,input_length = X.shape[1]))
model.add(Dropout(0.2))
model.add(LSTM(lstm_out))
model.add(Dropout_U(0.2))
model.add(Dropout_W(0.2))
model.add(Dense(2,activation='sigmoid'))
model.compile(loss = 'categorical_crossentropy', optimizer='adam',metrics = ['accuracy'])
print(model.summary())
Can you help me overcome this problem?你能帮我克服这个问题吗？
1 个解决方案
解决方案1
2 2021-05-10 07:43:52
The syntax used is outdated, Dropout_U has been changed to recurrent_dropout .使用的语法已经过时， Dropout_U已更改为recurrent_dropout 。 Dropout_W is simply Dropout . Dropout_W就是Dropout 。
If you replace Dropout_U with recurrent_dropout and make it part of your LSTM layer it should work.如果您要更换Dropout_U与recurrent_dropout ，使你LSTM层的一部分它应该工作。 Simply change the Dropout_W layer to Dropout .只需将Dropout_W层更改为Dropout 。
embed_dim = 128
lstm_out = 200
batch_size = 32
model = Sequential()
model.add(Embedding(2500, embed_dim,input_length = X.shape[1]))
model.add(Dropout(0.2))
model.add(LSTM(lstm_out, recurrent_dropout=0.2))
model.add(Dropout(0.2))
model.add(Dense(2,activation='sigmoid'))
model.compile(loss = 'categorical_crossentropy', optimizer='adam',metrics = ['accuracy'])
print(model.summary())
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