I put together my notes for Weeks 2–4 — logistic regression as a neural network, shallow nets, and building an L-layer network from scratch. Writing these up as I went really helped things click, especially backprop.
Sharing two resources:
Full notes → [https://lnkd.in/ghe_bUBS]
Interactive backprop reference (every formula, every dimension) → [https://lnkd.in/gZZVSuNW]