Pytorch, Pytorch Rnn, Pytorch Mnist Dataset, Build Model With Pytorch.
enumerate(loaders['train']): print("epoch: ", epoch) print(f"images: {images}") print(f"labels: {labels}") images = images.reshape(-1, sequence_length, input_size).to(device) labels = labels.to(device) print(f"images after reshpae: {images}") # Forward pass outputs = model(images) loss =