Pytorch, Pytorch Rnn, Pytorch Mnist Dataset, Build Model With Pytorch.
images.reshape(-1, sequence_length, input_size).to(device) labels = labels.to(device) outputs = model(images) _, predicted = torch.max(outputs.data, 1) total = total + labels.size(0) correct = correct + (predicted == labels).sum().item() print('Test Accuracy of the model on the 10000 test images: