Alternatives

Products that do what I wrote my first Neural Network does

1. 1IT
   I trained a neural network to write Kanji▲166

   2018 · otoro.net

2. 2TB
   To better understand Neural Networks I built one from scratch in C++▲10

   2017 · github.com

3. 3NN
   Neural networks tutorial series with code▲107

   2020 · github.com

4. 4IT
   I trained a neural network to learn Arabic morphology▲183

   2018 · github.com

5. 5IW
   I wrote a minimal deep learning library from scratch in Python▲25

   2021 · github.com

6. 6AT
   Applying the Unix philosophy to neural networks▲251

   2019 · github.com

7. 7IB
   I built a programming language for beginners▲25

   2020 · dip-lang.org

8. 8AV
   A Visual and Interactive Guide to the Basics of Neural Networks▲63

   2016 · jalammar.github.io

9. 9IW
   I wrote my first neural network▲6

   I have been interested in neural nets since the 90's. I've done quite a bit of reading, but never gotten around to writing code. I used Gemini in place of Wikipedia to fill in the gaps of my knowledge. The coolest part of this was learning about dual numbers. You can see in early commits that I did not yet know about auto-diff; I was thinking I'd have to integrate a CAS library or something. Now, I'm off to play with TensorFlow.

   Mar 2026 · github.com

10. 10
    Sonnet▲134

    A new library for constructing neural networks from DeepMind

    2017

11. 11SN
    Single neuron neural network written in COBOL▲94

    2020 · github.com

12. 12II
    I Invented a New Machine Learning Algorithm▲5

    2024 · medium.com

13. 13IA
    Inside a Neural Network▲13

    2018 · enlight.nyc

14. 14IM
    I made a 5 hour neural networks class with no prerequisites▲17

    2017 · neuralnetsforhackers.teachable.com

15. 15IT
    I trained a neural network to write scam emails▲6

    2021 · github.com

16. 16IC
    I created a Neural Network from scratch, in scratch▲7

    I spent the past week implementing a 1 Layer Neural Net and training it on MNIST within the visual scripting language provided by scratch.mit.edu. It was tedious, but ultimately not too difficult. The code runs incredibly slowly, so much so that 64 samples of MNIST takes 5+ hours to train on my machine. There were a lot of little mini challenges that were fun to overcome (implementing softmax was very tricky). If you're interested, I encourage you to try and improve on it! More details in the linked blog post.

    2024 · bell-boy.github.io

17. 17IT
    I trained a recurrent neural network in JavaScript to draw dick doodles▲5

    2020 · github.com

18. 18TM
    TimeForZen, my first "learning to code" solo project▲19

    2012 · timeforzen.com

19. 19AF
    A first try to implement a Deep Learning model▲7

    2017 · github.com

20. 20MF
    My first attempt to make a programming language▲6

    2022 · github.com

21. 21ID
    I designed and coded my first portfolio▲16

    2016 · zhayitong.com

22. 22IW
    I wrote a book about Grokking Deep Learning▲5

    2019 · manning.com

23. 23DA
    Drag and drop neural nets▲26

    2016 · getalkanet.com

24. 24WD
    Well-documented neural networks in JavaScript▲11

    2016 · github.com

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