Machine Learning, Data Science, Deep Learning, Artificial Intelligence, Towards Data Science.
(X_train.astype(np.float32) - 127.5) / 127.5 halfSize = int(batchSize / 2) batchCount=int(len(X_train)/batchSize) dLossReal = [] dLossFake = [] gLossLogs = [] gan, generator, discriminator = DCGAN(Noise_dim) for e in range(epochs): for i in tqdm_notebook(range(batchCount)): index =