mnist_torch_practice

This is a notebook for getting to learn Pytorch by building a play CNN and using it on the MNIST dataset

Steps of the process

1. Load dataset and labels
2. Either use a standard dataset or write a custom dataset class
3. Define dataloaders
4. Build model and specify how you can build the forward pass
5. Define training and evaluation loops