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Author SHA1 Message Date
luispauloml
f3c6a51e68
Merge 1c7c4d935b into 264b4547b3 2026-06-29 10:41:10 +01:00
Paul Kuruvilla
264b4547b3
Merge pull request #1812 from roiamiel1/add-build-deep-learning-from-scratch 
add Build Your Own PyTorch
 2026-06-25 20:11:09 +05:30
RoiAmiel
750f70669b
Update link for 'Build Deep Learning From Scratch' 2026-06-23 22:14:39 +03:00
Roi Amiel
1b3cb7479d add build add-build-deep-learning-from-scratch 2026-06-21 21:00:09 +03:00
luispauloml
1c7c4d935b Add Haskell entry for Neural Networks section 2022-07-20 15:01:16 +09:00
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@ -261,9 +261,11 @@ It's a great way to learn.
* [**Go**: _Build a multilayer perceptron with Golang_](https://made2591.github.io/posts/neuralnetwork)
* [**Go**: _How to build a simple artificial neural network with Go_](https://sausheong.github.io/posts/how-to-build-a-simple-artificial-neural-network-with-go/)
* [**Go**: _Building a Neural Net from Scratch in Go_](https://datadan.io/blog/neural-net-with-go)
* [**Haskell**: _Practical Dependent Types in Haskell: Type-Safe Neural Networks (Part 1)_](https://blog.jle.im/entry/practical-dependent-types-in-haskell-1.html)
* [**JavaScript / Java**: _Neural Networks - The Nature of Code_](https://www.youtube.com/playlist?list=PLRqwX-V7Uu6aCibgK1PTWWu9by6XFdCfh) [video]
* [**JavaScript**: _Neural networks from scratch for JavaScript linguists (Part1 — The Perceptron)_](https://hackernoon.com/neural-networks-from-scratch-for-javascript-linguists-part1-the-perceptron-632a4d1fbad2)
* [**Python**: _A Neural Network in 11 lines of Python_](https://iamtrask.github.io/2015/07/12/basic-python-network/)
* [**Python**: _Build Deep Learning From Scratch (reimplement PyTorch internals across 34 stages)_](https://github.com/roiamiel1/Build-Deep-Learning-From-Scratch)
* [**Python**: _Implement a Neural Network from Scratch_](https://victorzhou.com/blog/intro-to-neural-networks/)
* [**Python**: _Optical Character Recognition (OCR)_](http://aosabook.org/en/500L/optical-character-recognition-ocr.html)
* [**Python**: _Traffic signs classification with a convolutional network_](https://navoshta.com/traffic-signs-classification/)