from keras.models import Sequential
from keras.layers import Dense, Activation



class  Keras:
    model = Sequential()

    model.add(Dense(output_dim=64, input_dim=100))

    model.add(Activation("relu"))

    model.add(Dense(output_dim=10))

    model.add(Activation("softmax"))

    model.compile(loss='categorical_crossentropy', optimizer='sgd', metrics=['accuracy'])

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

    ##loss_and_metrics = model.evaluate(X_test, Y_test, batch_size=32)

    #classes = model.predict_classes(X_test, batch_size=32)

    #proba = model.predict_proba(X_test, batch_size=32)





