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Author SHA1 Message Date
tuannh982
7e7b65120c
Merge e63eb9b39b into 264b4547b3 2026-06-29 10:41:40 +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
atlnguyen
e63eb9b39b update 2024-05-30 10:51:31 +07:00
atlnguyen
7164f39ecb update README.md 2024-05-30 10:49:15 +07:00

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@ -151,6 +151,7 @@ It's a great way to learn.
* [**Python**: _Write your own miniature Redis with Python_](http://charlesleifer.com/blog/building-a-simple-redis-server-with-python/)
* [**Ruby**: _Build your own fast, persistent KV store in Ruby_](https://dineshgowda.com/posts/build-your-own-persistent-kv-store/)
* [**Rust**: _Build your own Redis client and server_](https://tokio.rs/tokio/tutorial/setup)
* [**Scala**: _Build your own SQL query planner from Scratch_](https://github.com/tuannh982/query-planner-guide)
#### Build your own `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 (Part1The 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/)