gans_1d.py 文件源码

def discriminator_model_r0():
    model = Sequential()
    model.add(Convolution1D(
        2, 5,
        border_mode='same',
        input_shape=(INPUT_LN, 1)))
    #model.add(Reshape((2*INPUT_LN,)))
    model.add(Flatten())
    model.add(Activation('relu'))
    model.add(Dense(1))
    model.add(Activation('sigmoid'))
    return model