Pytorch, Pytorch Rnn, Pytorch Mnist Dataset, Build Model With Pytorch.
Plot multiple train_data figure = plt.figure(figsize=(10, 8)) cols, rows = 5, 5 for i in range(1, cols * rows + 1): sample_idx = torch.randint(len(train_data), size=(1,)).item() img, label = train_data[sample_idx] figure.add_subplot(rows, cols, i) plt.title(label) plt.axis("off")