In [1]:

    

from keras.models import Sequential

model = Sequential()


    

In [2]:

    

from keras.layers.core import Dense, Activation

model.add(Dense(output_dim=64, input_dim=100, init="glorot_uniform"))
model.add(Activation("relu"))
model.add(Dense(output_dim=10, init="glorot_uniform"))
model.add(Activation("softmax"))


    

In [3]:

    

model.compile(loss='categorical_crossentropy', optimizer='sgd')


    

In [5]:

    

from keras.optimizers import SGD
model.compile(loss='categorical_crossentropy', optimizer=SGD(lr=0.01, momentum=0.9, nesterov=True))


    

In [6]:

    

model.fit(X_train, Y_train, nb_epoch=5, batch_size=32)


    

    




---------------------------------------------------------------------------
NameError                                 Traceback (most recent call last)
<ipython-input-6-908236f9b6ab> in <module>()
----> 1 model.fit(X_train, Y_train, nb_epoch=5, batch_size=32)

NameError: name 'X_train' is not defined

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