DESCRIPTION
Welcome to the second part of our latent space miniseries. In this video we'll write our training loop as well as two visualizers in Houdini and Pytorch.
Make sure you have watched Part 1 first:
https://entagma.com/building-a-latent-space-in-houdini-part-1-theory/
In both videos we only take a short glance at deeper topics of machine learning, like neurons, activation functions, optimizing and so on. If you need more insight into these topics I can highly recommend these introductory videos to machine learning by Coding Adventure and 3Blue1Brown:
https://www.youtube.com/watch?v=hfMk-kjRv4c
https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi