gans_1d_vonly.py 文件源码

def generator_model():  # CDNN Model
    print(INPUT_LN, N_GEN_l, CODE_LN) 

    model = Sequential()

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

    model.add(UpSampling1D(length=N_GEN_l[0]))
    model.add(Convolution1D(32, 5, border_mode='same'))
    model.add(Activation('relu'))

    model.add(UpSampling1D(length=N_GEN_l[1]))
    model.add(Convolution1D(1, 5, border_mode='same'))
    model.add(Activation('tanh'))
    return model