HNN
Jupyter Notebook
★ 30
updated 6mo ago
A step-by-step walkthrough of the inner workings of a simple neural network. The goal is to demystify the calculations behind neural networks by breaking them down into understandable components, including forward propagation, backpropagation, gradient calculations, and parameter updates.
No plain-English explanation yet — one is being written right now. Check back in a minute.