输入0与层lstm_16不兼容:预期的ndim=3，找到的ndim=2？

Question

我得到了错误Input 0 is incompatible with layer lstm_16: expected ndim=3, found ndim=2，代码如下：

#Step 6: Initialize the RNN
regressor = Sequential()

#Step 7: Adding the LSTM layers and some Dropout regularization

#Dropout regularization: drops out unnecessary data, so we are not shifting huge amounts of data through the network

#Adding the first LSTM layer and some Dropout regularization
#units - dimensionality in output space
regressor.add(LSTM(units = 50, return_sequences = True, input_shape = (X_train.shape[1], 1)))

#Adding the second LSTM layer and some Dropout regulariation
regressor.add(LSTM(units = 25, return_sequences = True))
regressor.add(Dropout(0.2))

#Adding a third LSTM layer and some Dropout regularization
regressor.add(LSTM(units = 12, return_sequences = True))
regressor.add(Dropout(0.2))

#Adding a fourth LSTM layer and some Dropout regularization
regressor.add(LSTM(units = 6))
regressor.add(Dropout(0.2))

#Step 8: Adding the output layer
regressor.add(Dense(units = 1))

X_train的尺寸为(114, 1, 216) (在I computer X_train.shape时生成)。为什么我会得到这个错误？

Answer 1

在这里，您将在第一个LSTM层的input_shape中传递两个值。

(samples, time_steps, nfeatures)的LSTM需要和输入的形状，您的图层输入必须具有此形状。