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Author SHA1 Message Date
Lei Shi
93324e1619
Merge 70eb7ffd71 into 264b4547b3 2026-06-25 23:14:30 +08:00
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
Lei Shi
70eb7ffd71
Add new C++ tutorial to Build your own Docker section 2025-08-07 16:36:57 +08:00
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README.md
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@ -155,6 +155,7 @@ It's a great way to learn.
#### Build your own `Docker`
* [**C**: _Linux containers in 500 lines of code_](https://blog.lizzie.io/linux-containers-in-500-loc.html)
* [**C++**: _Build a Simple Docker Container in C++_](https://labex.io/tutorials/cpp-creating-a-simple-docker-container-in-c-298835)
* [**Go**: _Build Your Own Container Using Less than 100 Lines of Go_](https://www.infoq.com/articles/build-a-container-golang)
* [**Go**: _Building a container from scratch in Go_](https://www.youtube.com/watch?v=8fi7uSYlOdc) [video]
* [**Python**: _A workshop on Linux containers: Rebuild Docker from Scratch_](https://github.com/Fewbytes/rubber-docker)
@ -264,6 +265,7 @@ It's a great way to learn.
* [**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/)