Foundations
Linear Algebra
Vectors, matrices, and the geometry every model runs on.
You can jump straight in, but this star assumes What Is Deep Learning. Not recommended as a first stop.
Four layers of depth
Each layer ends with a quiz. Finish layer 4 and you own this concept.
- L1IntuitionWhy every model — from a linear regression to GPT-4 — is fundamentally a pile of vectors and matrices being multiplied together.5m
40 XP - L2MechanicsThe mechanics of matrix multiplication, shapes, and why order and dimensions matter so much in practice.8m
70 XP - L3CodeImplementing dot products, matrix multiplies, and a linear layer from scratch with NumPy, then verifying against PyTorch.12m
110 XP - L4FoundationsThe formal definitions: vector spaces, norms, matrix rank, eigenvectors, and why they explain what a trained network 'keeps.'15m
180 XP
Where this leads
33 stars in the atlas.