End-to-end Pytorch model in five minutes

Standardising dataloaders, model, training and validation — so you don’t have to

If you want to write a Pytorch model in five minutes, there are four steps to go through:

1. Import and preprocess (dataset) data, and batch it (dataloader)
2. Build the model using nn.Module
3. Write a training loop and run it
4. Validate on the validation set

Because MNIST has been done to death, we’ll cover how to import a torchvision dataset, and write some …

computer vision deep learning mnist python pytorch