Refactoring! Changing the code to make Model | Let's learn - Neural networks from scratch in Go - 43

This and next couple of videos will be mostly about refactoring and improving the code itself. The main goal is to implement Model class that can be configured with different amount of Layers, activation functions, loss and optimizer. And all the logic to train and make prediction will be inside.
Today I prepared existing classes to Model and right now I can declare a model already.
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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