Let's build a neural network from scratch to truly understand how they work. And by scratch, I mean without using any fancy ML or linear algebra li...
For further actions, you may consider blocking this person and/or reporting abuse
Phenomenal wrote up of concepts. Was particularly interesting to see this in Rust!
I have thought about digging deeper into neural networks for years. I never budged the time because of the perceived effort to get the baseline knowledge. This was a great quick introduction and I look forward to learning more. Please keep posting, especially with Rust. Thank you!
so nice to see the main principle in a few lines of code!
Solid article! Nice work on this! I used a similar approach with raw vectors for my first Adaline model, and it's a great way to learn the math.
However, once I started implementing an MLP for MNIST, pure vectors became a real bottleneck. Moving to ndarray was a game-changer for performance (huge speedup on my M2 Pro), though it definitely increased the architectural complexity.