如何解决ValueError:lstm_34层的输入0与该层不兼容:预期ndim = 3,找到的ndim = 2收到完整的形状:[无,25]
我是lstm的新手,任何人都可以解释为什么我遇到此错误吗?
我的lstm模型-
def NNStructure():
input_text = tf.keras.Input((),dtype = tf.string,name = 'input_text')
initial_input= Embedding(vocab_size,25,weights=
[embedding_matrix],input_length=50,trainable=False) (input_text)
lstm = LSTM(32,input_shape=(50,25))(initial_input)
secondary_input = Input(shape=(50,6))
merge = concatenate([lstm,secondary_input])(lstm)
first_dense = Dense(128,activation='relu')(merge)
second_dense=Dense(64,activation='relu')(first_dense)
output=Dense(1,activation='sigmoid')(second_dense)
model_glove1 = Model(inputs=[initial_input,secondary_input],outputs=output)
return model_glove1
model_glove1 = NNStructure() model_glove1.compile(loss ='binary_crossentropy',optimizer ='adam',metrics = ['accuracy']) model_glove1.fit(x = [pad_seq,X_meta_train],y = np.array(Y_train),batch_size = 32,epochs = 4,verbose = 1,validation_split = 0.2,shuffle = True)
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