7fa21ceb42df2ae36ffb97d5e087712cc9145444,cyclegan/cyclegan.py,CycleGAN,build_discriminator,#CycleGAN#,128

Before Change

        model.add(Conv2D(self.df*8, kernel_size=4, strides=2, padding="same"))
        model.add(LeakyReLU(alpha=0.2))
        model.add(InstanceNormalization())
        model.add(Conv2D(1, kernel_size=4, strides=1, padding="same"))

        img = Input(shape=self.img_shape)
        validity = model(img)

After Change

        d3 = d_layer(d2, self.df*4)
        d4 = d_layer(d3, self.df*8)

        validity = Conv2D(1, kernel_size=4, strides=1, padding="same")(d4)

        return Model(img, validity)

    def train(self, epochs, batch_size=128, save_interval=50):

Instances