keras中的Dropout层dropout和recurrent_droput参数有什么区别?它们都用于相同的目的吗?
Dropout
dropout
recurrent_droput
例子:
model.add(Dropout(0.2)) # layer model.add(LSTM(100, dropout=0.2, recurrent_dropout=0.2)) # parameters
python keras keras-layer
keras ×1
keras-layer ×1
python ×1