- How does backpropagation work with different loss functions? https://en.m.wikipedia.org/wiki/Backpropagation 6 comments learnmachinelearning
Linking pages
- And Yet It Understands https://borretti.me/article/and-yet-it-understands 420 comments
- It Looks Like You’re Trying To Take Over The World · Gwern.net https://www.gwern.net/Clippy 274 comments
- Why the deep learning boom caught almost everyone by surprise https://www.understandingai.org/p/why-the-deep-learning-boom-caught 189 comments
- GPT-3 Creative Fiction · Gwern.net https://www.gwern.net/GPT-3#prompts-as-programming 141 comments
- Why Stephen Wolfram’s research program is a dead end – Single Lunch https://www.singlelunch.com/2020/04/23/why-stephen-wolframs-research-program-is-a-dead-end/ 130 comments
- Deep Learning Pioneer Geoffrey Hinton Publishes New Deep Learning Algorithm https://www.infoq.com/news/2023/01/hinton-forward-algorithm/ 122 comments
- The Neural Net Tank Urban Legend · Gwern.net https://www.gwern.net/Tanks 61 comments
- Evolution as Backstop for Reinforcement Learning · Gwern.net https://www.gwern.net/Backstop#pain-is-the-only-school-teacher 61 comments
- confusing coleopterists / 🤔🐞 — cunicode / Digital Craftsmanship https://www.cunicode.com/works/confusing-coleopterists 55 comments
- Top-down approach to Machine Learning (Updated 2019) https://www.zeroequalsfalse.press/2017/08/10/ml/ 48 comments
- Under the hood of Pixling World. This will be a look under the hood of… | by Fredrik Norén | HackerNoon.com | Medium https://medium.com/@fredriknoren/how-to-run-1m-neural-network-agents-at-60-steps-per-second-in-a-browser-183c6213156b 48 comments
- The Neural Net Tank Urban Legend · Gwern.net https://gwern.net/tank 48 comments
- GitHub - rekihattori/awesome-programmers: A list of history's greatest software engineers and tech pioneers https://github.com/rekihattori/awesome-programmers 44 comments
- How a stubborn computer scientist accidentally launched the deep learning boom - Ars Technica https://arstechnica.com/ai/2024/11/how-a-stubborn-computer-scientist-accidentally-launched-the-deep-learning-boom/ 41 comments
- It Looks Like You’re Trying To Take Over The World · Gwern.net https://www.gwern.net/fiction/Clippy 33 comments
- Practical Dependent Types in Haskell: Type-Safe Neural Networks (Part 1) · in Code https://blog.jle.im/entry/practical-dependent-types-in-haskell-1.html 32 comments
- Differentiable Programming: A Semantics Perspective · http://barghouthi.github.io/2018/05/01/differentiable-programming/ 25 comments
- Reinforcement Learning from scratch | by Emmanuel Ameisen | Insight https://blog.insightdatascience.com/reinforcement-learning-from-scratch-819b65f074d8 25 comments
- What Are Convolutional Neural Networks? https://serokell.io/blog/introduction-to-convolutional-neural-networks 22 comments
- Making a Traversable Wormhole with a Quantum Computer – Google AI Blog https://ai.googleblog.com/2022/11/making-traversable-wormhole-with.html 21 comments
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