Recent content by danieloncraft

For Reinforcement Learning, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is getting started. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell what actually improved the...

For AI tutorial: how to improve creative uses with AI Avatars, I would separate the problem into setup, output quality and repeatability. step and creative fits into that because it can change the result quite a lot depending on the workflow. The original point — "This tutorial shows a simple...

A useful way to understand Deep Learning is to separate the goal, the input, the model or tool, and the way the output is evaluated. One important area is collaboration. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell what...