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@ -52,6 +52,7 @@ It's a great way to learn.
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* [**C++**: _Physically Based Rendering:From Theory To Implementation_](http://www.pbr-book.org/)
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* [**C++**: _Ray Tracing in One Weekend_](https://raytracing.github.io/books/RayTracingInOneWeekend.html)
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* [**C++**: _Rasterization: a Practical Implementation_](https://www.scratchapixel.com/lessons/3d-basic-rendering/rasterization-practical-implementation/overview-rasterization-algorithm)
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* [**C++**: _Developing a Software Renderer_](https://trenki2.github.io/blog/2017/06/06/developing-a-software-renderer-part1/)
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* [**C# / TypeScript / JavaScript**: _Learning how to write a 3D soft engine from scratch in C#, TypeScript or JavaScript_](https://www.davrous.com/2013/06/13/tutorial-series-learning-how-to-write-a-3d-soft-engine-from-scratch-in-c-typescript-or-javascript/)
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* [**Java / JavaScript**: _Build your own 3D renderer_](https://avik-das.github.io/build-your-own-raytracer/)
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* [**Java**: _How to create your own simple 3D render engine in pure Java_](http://blog.rogach.org/2015/08/how-to-create-your-own-simple-3d-render.html)
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@ -264,6 +265,7 @@ It's a great way to learn.
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* [**JavaScript / Java**: _Neural Networks - The Nature of Code_](https://www.youtube.com/playlist?list=PLRqwX-V7Uu6aCibgK1PTWWu9by6XFdCfh) [video]
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* [**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)
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* [**Python**: _A Neural Network in 11 lines of Python_](https://iamtrask.github.io/2015/07/12/basic-python-network/)
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* [**Python**: _Build Deep Learning From Scratch (reimplement PyTorch internals across 34 stages)_](https://github.com/roiamiel1/Build-Deep-Learning-From-Scratch)
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* [**Python**: _Implement a Neural Network from Scratch_](https://victorzhou.com/blog/intro-to-neural-networks/)
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* [**Python**: _Optical Character Recognition (OCR)_](http://aosabook.org/en/500L/optical-character-recognition-ocr.html)
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* [**Python**: _Traffic signs classification with a convolutional network_](https://navoshta.com/traffic-signs-classification/)
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