使用 LSTM "Error when checking input: expected lstm_22_input to have 3 dimensions, but got array with

Question

在训练模型时显示错误

检查输入时出错：预期lstm_22_input具有 3 个维度，但得到具有形状的数组 (15， 33297(

我已经尝试并更改了input_shape 100 次，但最后它显示此错误。

我已经使用expand_dims多次更改了input_dims我也转换了它，但它也显示了相同的错误。

from keras.layers import Embedding
model=Sequential()
model.add(LSTM(50,return_sequences=True, input_shape=(X_train.shape[0], 
X_train.shape[1],)))
model.add(LSTM(32, return_sequences=True ))
model.add(Dense(2, activation='softmax'))
model.compile(loss='binary_crossentropy',
              optimizer='adam',
              metrics=['accuracy'])
print("Train...")
model.fit(X_test,y_test,batch_size=5, epochs=10)

错误：

ValueError                                Traceback (most recent call last)
<ipython-input-89-afa0c9eaa4e6> in <module>()
      1 print("Train...")
----> 2 model.fit(X_test,y_test,batch_size=5, epochs=10)
~Anaconda3libsite-packageskerasenginetraining.py in fit(self, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, **kwargs)
    950             sample_weight=sample_weight,
    951             class_weight=class_weight,
--> 952             batch_size=batch_size)
    953         # Prepare validation data.
    954         do_validation = False
~Anaconda3libsite-packageskerasenginetraining.py in _standardize_user_data(self, x, y, sample_weight, class_weight, check_array_lengths, batch_size)
    749             feed_input_shapes,
    750             check_batch_axis=False,  # Don't enforce the batch size.
--> 751             exception_prefix='input')
    752 
    753         if y is not None:
~Anaconda3libsite-packageskerasenginetraining_utils.py in standardize_input_data(data, names, shapes, check_batch_axis, exception_prefix)
    126                         ': expected ' + names[i] + ' to have ' +
    127                         str(len(shape)) + ' dimensions, but got array '
--> 128                         'with shape ' + str(data_shape))
    129                 if not check_batch_axis:
    130                     data_shape = data_shape[1:]
ValueError: Error when checking input: expected lstm_22_input to have 3 dimensions, but got array with shape (15, 33297)

Answer 1

问题是在这一行

model.add(LSTM(50,return_sequences=True, input_shape=(X_train.shape[0], 
X_train.shape[1],)))

您指定 3D 输入，因为后面的逗号

X_train.shape[1],

删除逗号以获取 2D 输入或将其更改为

model.add(LSTM(50,return_sequences=True, input_shape=(X_train.shape)))

以确保输入尺寸匹配。