My experiments with π₯
Practical Mojo for ML
This repo is inspired by fastaiβs approach but does everything slowly, in Mojo π₯.
Dependencies
We will use only the packages available in the Mojo Playground. Those are:
- The Python standard library
- matplotlib
- numpy
Content
Experiments with Mojo: 1. Read in the MNIST dataset from numpy
2. Define a linear layer
3. Backprop from scratch
4. Iterators