Alternatives

Products that do what I made a 5 hour neural networks class with no prerequisites does

1. 1NN
   Neural networks tutorial series with code▲107

   2020 · github.com

2. 2IW
   I wrote a minimal deep learning library from scratch in Python▲25

   2021 · github.com

3. 3IT
   I trained a neural network to write Kanji▲166

   2018 · otoro.net

4. 4IW
   I wrote my first Neural Network▲6

   2017 · github.com

5. 5IT
   I trained a neural network to learn Arabic morphology▲183

   2018 · github.com

6. 6TB
   To better understand Neural Networks I built one from scratch in C++▲10

   2017 · github.com

7. 7
   EverLearns Studio▲383

   Turn anything into a course in 5 minutes

   2024

8. 8N5
   NN-512 – Generate standalone C code for neural nets▲111

   2020 · nn-512.com

9. 9SN
   Single neuron neural network written in COBOL▲94

   2020 · github.com

10. 10TS
    Two strange useless things to do with a neural net▲22

    2019 · github.com

11. 11IB
    I built a programming language for beginners▲25

    2020 · dip-lang.org

12. 12IC
    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

13. 13TM
    TimeForZen, my first "learning to code" solo project▲19

    2012 · timeforzen.com

14. 14MW
    My "weekend" project, an ML dialect and compiler▲68

    2012 · texodus.github.com

15. 15AC
    A Course on Deep Learning Using Google's TensorFlow▲39

    2019 · github.com

16. 16LP
    Learn Programming Basics in 40 Minutes▲41

    2020 · nbasic.net

17. 17IA
    Inside a Neural Network▲13

    2018 · enlight.nyc

18. 18AC
    A Comprehensive Free Course in Deep Learning Using TensorFlow▲19

    2018 · github.com

19. 19TT
    Tensorflow tutorials▲7

    2016 · github.com

20. 20IM
    I made a (terrible) programming language▲9

    2015 · jsnider3.github.io

21. 21MF
    My first attempt to make a programming language▲6

    2022 · github.com

22. 22IW
    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

23. 23IM
    I'm 15 and built a neural network from scratch in C++,just math▲8

    I’m 15 and self-taught. I'm learning ML from scratch because I want to really understand how things work. I’m not into frameworks. I prefer math, logic, and C++. I implemented a basic MLP that supports different activation and loss functions. It was trained via mini-batch gradient descent. I wrote it from scratch, using no external libraries except Eigen (for linear algebra). I learned how a Neural Network learns (all the math) -- how the forward pass works, and how learning via backpropagation works. How to convert all that math into code. I’ll write a blog soon explaining how MLPs work in…

    2025 · github.com

24. 24T1
    Train 1B rows in 5 minutes on your laptop using vaex and sklearn▲7

    2020 · towardsdatascience.com

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