vanilla_cgan.py 文件源码

def discriminator_model(model_name="discriminator"):
    # Merge noise and auxilary inputs
    disc_input = Input(shape=(400,), name="discriminator_input")
    aux_input = Input(shape=(47,), name="auxilary_input")
    x =  merge([disc_input, aux_input], mode="concat", concat_axis=-1)

    # Dense Layer 1
    x = Dense(1024)(x)
    x = LeakyReLU(0.2)(x)

    # Dense Layer 2
    x = Dense(1024)(x)
    x = LeakyReLU(0.2)(x)

    # Dense Layer 3
    x = Dense(1024)(x)
    x = LeakyReLU(0.2)(x)

    # Dense Layer 4
    x = Dense(1024)(x)
    x = LeakyReLU(0.2)(x)

    # Dense Layer 5
    x = Dense(1)(x)
    x = Activation("sigmoid")(x)

    discriminator_model = Model(input=[disc_input, aux_input], output=[x], name=model_name)

    return discriminator_model


    return discriminator_model