Done with derivatives | Let's learn - Neural networks from scratch in Go - 16

Closing pure-math chapters for now and here I'm done with derivatives and stuff around this in terms of application within neural networks.
We study the book nnfs.io and implementing all the code with Golang instead of Python. The aim is to learn how neural networks are made inside and how it looks like to build is fully from the scratch without using frameworks like pytorch or tensorflow. We’ll have to find alternative in Go or reimplement some operations fully from the ground.
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