Keras Deep Learning Cookbook

Getting ready

Make relevant imports and initialize the DCGAN class, as shown in the following code:

from __future__ import print_function, divisionfrom keras.datasets import fashion_mnistfrom keras.layers import Input, Dense, Reshape, Flatten, Dropoutfrom keras.layers import BatchNormalization, Activation, ZeroPadding2Dfrom keras.layers.advanced_activations import LeakyReLUfrom keras.layers.convolutional import UpSampling2D, Conv2Dfrom keras.models import Sequential, Modelfrom keras.optimizers import Adamimport matplotlib.pyplot as pltimport sysimport numpy as npclass DCGAN():    ...

Define the constants to be used later:

class DCGAN():    def __init__(self):        # Input shape        self.img_rows = 28        self.img_cols = 28        self.channels = 1        self.img_shape = ...