Neural Networks: Zero to Hero(karpathy.ai)

546 points by whereistimbo 3 years ago | 64 comments

Course page for Andrej Karpathy's Neural Networks: Zero to Hero, a video series building neural networks from scratch in code up to GPT-style language models.

The matrix calculus you need for deep learning (2018)(explained.ai)

205 points by cpp_frog 3 years ago | 35 comments

The Matrix Calculus You Need for Deep Learning(explained.ai)

52 points by Anon84 1 year ago | 1 comments

Microgpt explained interactively(growingswe.com)

283 points by growingswe 7 months ago | 41 comments

Why are neural networks and cryptographic ciphers so similar? (2025)(reiner.org)

126 points by jxmorris12 5 months ago | 42 comments

Borgo Programming Language(borgo-lang.github.io)

334 points by MrBuddyCasino 1 year ago | 159 comments

Interactive intro and playground for Borgo, a new statically typed programming language with Rust-like features that compiles to Go.

Neural Networks: Zero to Hero(karpathy.ai)

546 points by whereistimbo 3 years ago | 64 comments

Course page for Andrej Karpathy's Neural Networks: Zero to Hero, a video series building neural networks from scratch in code up to GPT-style language models.

Deep Learning Is Applied Topology(theahura.substack.com)

473 points by theahura 1 year ago | 176 comments

A Substack essay from 12 Grams of Carbon arguing that deep learning is applied topology, explaining how neural networks transform data lying on manifolds.

Neural networks are clean(already-clean.goodfire.com)

768 points by themgt 11 days ago | 300 comments

An informal research essay by Nick Cammarata at Goodfire arguing polysemanticity stems from fixable issues, not superposition, making neurons interpretable at scale.

AI models can provably hide arbitrary capabilities(arxiv.org)

252 points by sbulaev 13 days ago | 118 comments

An arXiv paper showing AI models can embed encrypted neural network backdoors that provably hide arbitrary capabilities from elicitation-based safety evaluations.

Show HN: Building a web search engine from scratch with 3B neural embeddings(blog.wilsonl.in)

578 points by wilsonzlin 1 year ago | 97 comments

Wilson Lin's blog post describing how he built a web search engine from scratch in two months using 3 billion neural embeddings.

An Introduction to Statistical Learning with Applications in Python(statlearning.com)

359 points by alexmolas 3 years ago | 65 comments

Official website for the textbook An Introduction to Statistical Learning, offering free downloads of the R and Python editions plus resources and errata.