Machine Learning, Data Science, Deep Learning, Artificial Intelligence, Towards Data Science.
np.zeros((halfbatch_size, 1))) # DLoss=np.add(DlossTrue,DlossFake)*0.5 DLoss=np.add(DlossTrue,DlossEnc) DLoss=np.add(DLoss,DlossFake)*0.33 D.Trainable = False cnt = epoch while cnt > 3: cnt = cnt - 4 if cnt == 0: noise = np.random.normal(0, 1, (batch_size, latent_dim)) index =