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- Hacker News
- It started mostly as an exercise to make sure I actually understood forward propagation and backpropagation rather than just using an existing framework.
If anyone is interested: https://github.com/kvladsrc/gym/tree/main/neural_network/nn_...
by zjgkknk - i created something similar a while back. Inspired by micrograd for showing the connection between math/calculus and code, then building along the way to a full NumPy deep learning library that I pretrained GPT-2 124M model with it. One way to learn is to trace through the PRs merged to the repo in chronological order.
The philosophy is the same: "What I cannot create, I do not understand." https://github.com/workofart/ml-by-hand
by megadragon9 - I found Deep Learning by No Starch Press to be an excellent primer the foundation of AI:by slowin
- - half the posts are locked
- other half have no visualizations whatsoever
- i have posted far better resources than this in the past collecting everything HN has over a 10 yr period on these subjects https://news.ycombinator.com/item?id=49183198
by vivzkestrel - I'm not sure what this is. Click past the subscribe page to get a bunch of links to descriptions of articles I could read if I was a subscriber?by zhainya
- https://www.byhand.ai/p/library
> AI by Hand is the research publication of By Hand Research, founded by Prof. Tom Yeh. By Hand Research studies model interpretability and explainability at the math and algorithm level. Subscribers receive free new articles and join live seminars. Members get access to our full research library.
by rustyminnow - This is also recommended reading if you want to learn more about building LLMs from scratch: See:
Train your own LLM - https://github.com/angelos-p/llm-from-scratch
HN Discussion - https://news.ycombinator.com/item?id=48017948