The Setup

Building towards: MNIST dataset

A case study of the pytorch MNIST example.

1. Boilerplate: Setting up python and virtual environments
2. MNIST: Code and breakdown of MNIST example
3. Randomness: Examples of setting random seed and effect on data, models, etc.
4. Dataset: Investigation of datasets.MNIST
5. Model: Investigation of torch.nn.Module
6. Metrics: MNIST classification metrics
7. Training: MNIST train function
8. Device: Ensuring use of GPU for training
9. Hyperparams: Providing hyperparams to python training script

---