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5 commits

Author SHA1 Message Date
karthik
8e53e5ab88
Merge 97e5c04f1a into 264b4547b3 2026-06-26 13:10:47 +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
karthik
97e5c04f1a docs: add new blockchain tutorial link 2025-11-15 16:58:52 +05:30

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@ -103,6 +103,7 @@ It's a great way to learn.
* [**TypeScript**: _Naivecoin: a tutorial for building a cryptocurrency_](https://lhartikk.github.io/)
* [**TypeScript**: _NaivecoinStake: a tutorial for building a cryptocurrency with the Proof of Stake consensus_](https://naivecoinstake.learn.uno/)
* [**Rust**: _Building A Blockchain in Rust & Substrate_](https://hackernoon.com/building-a-blockchain-in-rust-and-substrate-a-step-by-step-guide-for-developers-kc223ybp)
* [Build a Blockchain in Python](https://github.com/dvf/blockchain)
#### Build your own `Bot`
@ -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/)