title: name 'Sequential' is not defined Python3 Keras
body: <pre><code>import numpy
  import keras.models
  import tensorflow
  seed = 7
  
  numpy.random.seed(seed)
  dataset = numpy.genfromtxt("student-por.csv",delimiter=";")
  X = dataset[:,0:33]
  Y = dataset[:,8]
  model = Sequential()
  model.add(Dense(12, input_dim=8, init='uniform', activation='relu'))
  model.add(Dense(8, init='uniform', activation='relu'))
  model.add(Dense(1, init='uniform', activation='sigmoid'))
  # Compile model
  model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy']) # Fit the model
  
  scores = model.evaluate(X,Y)
  print("%s: %s" % (model.metrics_names[1], scores[1]*100))
  </code></pre>
  
  <p>Error :</p>
  
  <blockquote>
    <p>#Exception 错误:
        #Using TensorFlow backend.
        #Traceback (most recent call last):
        #  File "test.py", line 11, in 
        #    model = Sequential()
        #NameError: name 'Sequential' is not defined
        #很奇怪 他居然显示Sequential()有问题 我确认好多次我没打错了 引用库也不知道有什么问题</p>
  </blockquote>
  
  <p>It is strange that he actually showed that there is a problem with Sequential (). I confirmed many times that I did not type the reference library incorrectly and did not know what was wrong.</p>