错误：fit() 收到意外的关键字参数“nb_epoch”

Question

classifier.add(Dense(6, kernel_initializer = 'uniform', activation = 'relu', input_dim = 11))
classifier.add(Dense(6,kernel_initializer = 'uniform', activation = 'relu'))
classifier.add(Dense(1, kernel_initializer = 'uniform', activation = 'sigmoid')) 

classifier.compile(optimizer = 'adam', loss = 'binary_crossentropy', 
                metrics = ['accuracy']) 

#classifier.fit(X_train, y_train, batch_size = 10, epochs = 100)

classifier.fit(X_train, y_train, batch_size = 10, nb_epoch = 100)

如果我运行这个，它会说：

fit() got an unexpected keyword argument 'nb_epoch'

我nb_epochs也尝试过epoch。它仍然给出错误。我尝试了纪元，它给出了一个新的错误：

ValueError: Input 0 of layer sequential is incompatible with the layer: expected axis -1 of input shape to have value 11 but received input with shape (None, 1)

我正在编写的是预测价格的人工神经网络代码。如果你能帮助我，我将不胜感激。

Answer 1

使用“ epochs”代替“ nb_epoch”。