Machine Learning, Data Science, Deep Learning, Artificial Intelligence, Towards Data Science.
GLoss=np.add(GlossEnc,GlossGen) GLoss=np.add(GLoss,Eloss)*0.33 dLoss.append([epoch,DLoss[0]]) gLoss.append([epoch,GLoss]) elif epoch >= int(epochs*0.5): cnt = epoch while cnt > 3: cnt = cnt - 4 if cnt == 0: noise = np.random.normal(0, 1, (halfbatch_size, latent_dim)) index =