My experiments with 🔥

This repo is inspired by fastai’s approach but does everything slowly, in Mojo 🔥.

Dependencies

We will use only the packages available in the Mojo Playground. Those are:

Experiments with Mojo: 1. Read in the MNIST dataset from numpy
2. Define a linear layer
3. Backprop from scratch
4. Iterators

Name		Name	Last commit message	Last commit date
Latest commit History 32 Commits
.github/workflows		.github/workflows
nbs		nbs
.gitignore		.gitignore
LICENSE		LICENSE
MANIFEST.in		MANIFEST.in
README.md		README.md
py.sh		py.sh
settings.ini		settings.ini