Recent content by driverdaisy

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

For Beginner tutorial: using privacy considerations for Unity + AI, I would separate the problem into setup, output quality and repeatability. step and privacy fits into that because it can change the result quite a lot depending on the workflow. If you share the exact setup, it would be easier...

This tutorial shows a simple repeatable way to work with Luma Dream Machine while focusing on data quality. Step 1: Define the result you want. Write down the output format, quality requirements, and any limits before you start. Step 2: Prepare a small representative example. Test with...