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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