Machine Learning, Data Science, Deep Learning, Artificial Intelligence, Towards Data Science.
kernel_initializer=RandomNormal(stddev=init_stddev))) d.add(Activation('sigmoid')) d.summary() return d def DCGAN(sample_size=100): # Generator g = generator_model(sample_size, 0.2, 0.02) # Discriminator d = discriminator_model(0.2, 0.02) d.compile(optimizer=Adam(lr=0.001, beta_1=0.5),