Machine Learning, Data Science, Deep Learning, Artificial Intelligence, Towards Data Science.
beta_1=0.5), metrics=['accuracy']) return model def discriminator_model(leaky_alpha=0.2, dropRate=0.3): model = Sequential() # layer1 (None,64,64,3)>>(None,32,32,32) model.add(Conv2D(32, kernel_size=3, strides=2, input_shape=image_shape, padding="same")) model.add(LeakyReLU(alpha=leaky_alpha))