DEVLOG 4: The beginning of learning PyTorch & Working AI-Tetris-Environment

Pretty much the title sums up what I’ve been doing for the past 3h and 9m of this. I have some prior knowledge of the basics of machine learning ( from The Nature Of Code by Daniel Shiffman awesome book about coding would recommend ) by making a single layer perceptron ( basically a single neuron algorithm ) that can separate linearly separable data. I attempted to make a multi layered perceptron which actually puts the network in neural network. But I got stuck on back propagation. I don’t really know what to put as the picture for this devlog so I’ll just show a visualization of a neural network.