Machine Learning, Data Science, Deep Learning, Artificial Intelligence, Towards Data Science.
dLoss=[] gLoss=[] GLoss = 1 GlossEnc = 1 GlossGen = 1 Eloss = 1 halfbatch_size = int(batch_size*0.5) for epoch in tqdm(range(epochs)): if epoch < int(epochs*0.5): noise = np.random.normal(0, 1, (halfbatch_size, latent_dim)) index = np.random.randint(0,dataset.shape[0], halfbatch_size) images =