Hacker News
- Hacker's guide to Neural Networks (2012) http://karpathy.github.io/neuralnets/ 24 comments
- Hacker's guide to Neural Networks (2012) http://karpathy.github.io/neuralnets/ 39 comments
- Hacker's guide to Neural Networks http://karpathy.github.io/neuralnets/ 61 comments
- Hacker's Guide to Neural Networks http://karpathy.github.io/neuralnets/ 34 comments
- As a game developer, am I on the right track to acquire the skills to create improved AI? http://karpathy.github.io/neuralnets/ 4 comments learnmachinelearning
- Programmer's guide to Neural Networks http://karpathy.github.io/neuralnets/ 5 comments coding
- Programmer's guide to Neural Networks with JavaScript http://karpathy.github.io/neuralnets/ 4 comments javascript
- Hacker's guide to Neural Networks https://karpathy.github.io/neuralnets/ 3 comments artificial
- Hacker's guide to Neural Networks http://karpathy.github.io/neuralnets/ 4 comments programming
Linking pages
- GitHub - breandan/kotlingrad: 🧩 Shape-Safe Symbolic Differentiation with Algebraic Data Types https://github.com/breandan/kotlingrad 27 comments
- A friendly Introduction to Backpropagation in Python | Sushant Choudhary https://sushant-choudhary.github.io/blog/2017/11/25/a-friendly-introduction-to-backrop-in-python.html 14 comments
- Deep Learning Algorithms - The Complete Guide | AI Summer https://theaisummer.com/Deep-Learning-Algorithms/ 12 comments
- Learning How To Code Neural Networks | by Per Harald Borgen | Learning New Stuff | Medium https://medium.com/@oslokommuneper/how-to-learn-neural-networks-758b78f2736e#.s0p5o4cxa 9 comments
- How to create a Neural Network in JavaScript in only 30 lines of code https://medium.freecodecamp.org/how-to-create-a-neural-network-in-javascript-in-only-30-lines-of-code-343dafc50d49 8 comments
- Qix/dl.md at master · ty4z2008/Qix · GitHub https://github.com/ty4z2008/Qix/blob/master/dl.md 1 comment
- GitHub - agrim123/reading-material: List of some useful blogs, books, courses, papers etc. https://github.com/agrim123/reading-material 0 comments
- GitHub - ujjwalkarn/Machine-Learning-Tutorials: machine learning and deep learning tutorials, articles and other resources https://github.com/ujjwalkarn/Machine-Learning-Tutorials 0 comments
- Visual Networks: The Marketing Consultant | by Italo Sayan | Towards Data Science https://towardsdatascience.com/visual-networks-the-marketing-consultant-d152b04a5e46 0 comments
- Heavy Metal and Natural Language Processing - Part 2 http://www.degeneratestate.org/posts/2016/Sep/12/heavy-metal-and-natural-language-processing-part-2/ 0 comments
- GitHub - onmyway133/awesome-machine-learning: 🎰 A curated list of machine learning resources, preferably CoreML https://github.com/onmyway133/fantastic-machine-learning/blob/master/README.md#blogs 0 comments
- GitHub - mdibaiee/weekly-achievements: My weekly achievements https://github.com/mdibaiee/weekly-achievements 0 comments
- 4 Reasons Why Economists Make Great Data Scientists (And Why No One Tells Them) | by Matúš Lupták | Medium https://medium.com/@metjush/4-reasons-why-economists-make-great-data-scientists-and-why-no-one-tells-them-524478845ec2 0 comments
- High performance tensor library in Nim | by Mamy André-Ratsimbazafy | Medium https://medium.com/@MARatsimbazafy/high-performance-tensor-library-in-nim-97a0c44de2f4 0 comments
- Word Embeddings in Perl: Baby Steps https://two-wrongs.com/word-embeddings-in-perl.html 0 comments
Linked pages
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