Simple neuron & backpropagation


I’m relatively new to Julia and decided to calculate the output of a neuron given specific inputs, weights, and bias using two methods: “manually” and with Flux.jl. You can check out my Pluto.jl notebook here: Binder

The purpose is to understand how backpropagation works, so I would appreciate your comments, critiques, remarks, etc.

I used this material as a guide and wrote my version (Binder link above) in Julia: nn-zero-to-hero/lectures/micrograd/micrograd_lecture_second_half_roughly.ipynb at master · karpathy/nn-zero-to-hero · GitHub