Demystifying Neural Networks

Demystifying Neural Networks

Let's drive into neural networks—exploring how Gauss’s prediction of asteroid Ceres position connects to modern gradient descent in plain, accessible language. Today, AI is often seen as almost magical, with an air of mystique that can obscure its real, mathematical foundations. This series clarifies the core concepts of deep learning by breaking down the underlying math and featuring interactive elements that allow you to experiment with models. Stay tuned for Part 2, where we'll start to do some coding

Read Part 1 here: https://signumspace.net/blog/demystifying-neural-networks-beyond-the-buzzwords

(comics inspired by https://xkcd.com/, check it out)