Skip to content

Show HN: Why Neural Networks Need He Init, Clipping, and Momentum

sbondaryev.dev
2 pointssbondaryevdiscuss
On HN

Hi HN,

I made an interactive guide showing why neural networks need specific training techniques.

Start with a simple network trying to learn x². Each section introduces a problem like gradient explosion or dead neurons and shows the fix that solves it using ReLU activation, He initialization, gradient clipping, and momentum.

All code is editable and runs in the browser.

Comments

No comments yet.

AboutSource Built by g1lg1l

Hackerly is an independent reader for Hacker News, built on the public HN API. Not affiliated with Y Combinator.