Recent content by brain_anna

This tutorial shows a simple repeatable way to work with Deep Learning while focusing on automation. 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 something easy...

The point about step and getting is interesting. In practice I would keep the first test simple, record what worked, and only add extra complexity if it solves a specific limitation. It is usually easier to troubleshoot when each change is tested on its own.

For Unity + AI, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is productivity. 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 outcome...