Hacker News
- How does the distribution of “features” in the hidden layers of neural networks work? https://www.youtube.com/watch?t=570s&v=aircAruvnKk 5 comments learnmachinelearning
- Neural Network Animation in C++! https://www.youtube.com/watch?t=279s&v=aircAruvnKk 5 comments learnmachinelearning
- The best video explanation about Neural Network I have ever had! https://www.youtube.com/watch?v=aircAruvnKk 12 comments learnmachinelearning
- But what *is* a Neural Network? https://youtu.be/aircAruvnKk 7 comments artificial
- But what *is* a Neural Network? | Deep learning, Part 1 (3blue1brown) https://www.youtube.com/watch?v=aircAruvnKk 3 comments programming
- But what *is* a Neural Network? | Deep learning, Part 1 https://youtu.be/aircAruvnKk 53 comments math
- What is a Neural Network? New deep learning series from 3b1b https://www.youtube.com/watch?amp%3Battr_tag=3sWbuZ6gjPMvxmlb-6&%3Bfeature=push-u-sub&v=aircAruvnKk 12 comments programming
Linking pages
- Neural Network From Scratch https://sirupsen.com/napkin/neural-net 38 comments
- GitHub - Avik-Jain/100-Days-Of-ML-Code: 100 Days of ML Coding https://github.com/Avik-Jain/100-Days-Of-ML-Code 35 comments
- MTG Hivemind: Artificial Intelligence designing Magic! | by Lucas Demo | Medium https://medium.com/@lukbebalduke/mtg-hivemind-artificial-intelligence-designing-magic-372530640cc1 27 comments
- GitHub - amitness/learning: A log of things I'm learning https://github.com/amitness/learning 17 comments
- 5100NonExecutableROSDecode/WRITEUP.md at main · stepleton/5100NonExecutableROSDecode · GitHub https://github.com/stepleton/5100NonExecutableROSDecode/blob/master/WRITEUP.md 16 comments
- GitHub - mlabonne/llm-course: Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks. https://github.com/mlabonne/llm-course 10 comments
- AI as Infant: The Layman’s Guide to Neural Networks | by Jane Doerflinger | Medium https://medium.com/@janedoerflinger/ai-as-infant-the-laymans-guide-to-neural-networks-778da3eb125c 9 comments
- Exploring Neural Graphics Primitives – Max Slater – Computer Graphics, Programming, and Math https://thenumb.at/Neural-Graphics/ 9 comments
- Solving Sudoku: Part III. If you are not yet familiar with the… | by Nesh Patel | Medium https://medium.com/@neshpatel/solving-sudoku-part-iii-3182fe747883 7 comments
- Code-Driven Videos | Overanalyzed https://osolmaz.github.io/blog/code-driven-videos 6 comments
- GitHub - alexmorley/every-data-scientist-should-know: A collection of (mostly) technical things every data scientist should know - `s/programmer/data-scientist/g` of every-programmer-should-know by @mtdvio https://github.com/alexmorley/every-data-scientist-should-know 4 comments
- GitHub - prakhar21/50-Days-of-ML: A day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects https://github.com/prakhar21/100-Days-of-ML 3 comments
- Breaking into Vision - Bryant’s Newsletter https://blog.bawolf.com/p/breaking-into-vision 3 comments
- Numbers Go Brrrr https://absorensen.github.io/numbers_go_brrrr/ 2 comments
- A market is a neural network - Wyclif's Dust https://wyclif.substack.com/p/a-market-is-a-neural-network 1 comment
- Why is Linear Algebra Taught So Badly? | by Callum Ballard | Towards Data Science https://towardsdatascience.com/why-is-linear-algebra-taught-so-badly-5c215710ca2c 1 comment
- GitHub - enkaranfiles/Machine-Learning-Engineer-Roadmap: this is for myself, development roadmap https://github.com/enkaranfiles/Machine-Learning-Engineer-Roadmap#data-structures-and-algorithms 1 comment
- A Layman’s Guide to Recreational Mathematics Videos https://www.reason-alone.com/p/a-laymans-guide-to-recreational-mathematics 1 comment
- Let Us Show You How GPT Works — Using Jane Austen - The New York Times https://www.nytimes.com/interactive/2023/04/26/upshot/gpt-from-scratch.html 1 comment
- The Four Fundamental Quantities of LLMs: Part Zero - 📜 What are Large Language Models? https://intuitiveai.substack.com/p/the-four-fundamental-quantities-of 1 comment
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