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Products that do what To better understand Neural Networks I built one from scratch in C++ does

  1. 1NN
  2. 2AT
  3. 3AV
  4. 4IT
  5. 5IW

    2017 · github.com

  6. 6IW
  7. 7IT
  8. 8
    Sonnet134

    A new library for constructing neural networks from DeepMind

    2017

  9. 9N5
  10. 10IB
  11. 11IM

    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

  12. 12CT
  13. 13TA
  14. 14SN
  15. 15

    Core concepts behind neural networks and deep learning

    2015

  16. 16WD
  17. 17IC

    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

  18. 18IA

    2018 · enlight.nyc

  19. 19SA
  20. 20LA
  21. 21SD
  22. 22PA
  23. 23IW
  24. 24LN

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