gans_1d_vonly.py 文件源码

def generator_model_44():  # CDNN Model
    model = Sequential()

    model.add(Convolution1D(16, 5, border_mode='same', input_shape=(CODE_LN, 1)))
    model.add(Activation('relu'))

    model.add(UpSampling1D(length=4))
    model.add(Convolution1D(32, 5, border_mode='same'))
    model.add(Activation('relu'))

    model.add(UpSampling1D(length=4))
    model.add(Convolution1D(1, 5, border_mode='same'))
    # model.add(Activation('relu'))
    return model