Pytorch, Pytorch Rnn, Pytorch Mnist Dataset, Build Model With Pytorch.
Train the model total_step = len(loaders['train']) for epoch in range(num_epochs): for i, (images, labels) in enumerate(loaders['train']): images = images.reshape(-1, sequence_length, input_size).to(device) labels = labels.to(device) # Forward pass outputs = model(images) loss = loss_func(outputs,