title: Error: fit() got an unexpected keyword argument 'nb_epoch'
body: <pre><code>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)
  </code></pre>
  <p>if I run this, it says:</p>
  <pre><code>fit() got an unexpected keyword argument 'nb_epoch'
  </code></pre>
  <p>I tried <code>nb_epochs</code> as well as <code>epoch</code>. Still it gives error. I tried epochs and it gave a new error saying :</p>
  <pre><code>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)
  </code></pre>
  <p>What I'm coding is an artificial neural network code to predict price. I would be thankful if u could help me out.</p>