Recent content by questisla

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 cost control. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell what...

I wanted to start a broader creative experiments thread around AI Sound Effects. A useful angle is future improvements, but it also connects with privacy considerations. Different tools and workflows can produce very different results even when the goal is similar. It would be interesting to...