test_e2e.py 文件源码

def model(X_train, Y_train, X_test, Y_test):
    model = Sequential()
    model.add(Dense(50, input_shape=(784,)))
    model.add(Activation('relu'))
    model.add(Dropout({{uniform(0, 1)}}))
    model.add(Dense({{choice([20, 30, 40])}}))
    model.add(Activation('relu'))
    model.add(Dropout({{uniform(0, 1)}}))
    model.add(Dense(10))
    model.add(Activation('softmax'))

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

    model.fit(X_train, Y_train,
              batch_size={{choice([64, 128])}},
              nb_epoch=1,
              verbose=2,
              validation_data=(X_test, Y_test))
    score, acc = model.evaluate(X_test, Y_test, verbose=0)
    print('Test accuracy:', acc)
    return {'loss': -acc, 'status': STATUS_OK, 'model': model}