I use GA optimization for non-convex problems, mainly hyperparameter optimization. Sometimes it’s very effective but I’ve not found a way to know ahead of time if it will outperform other algorithms.

I love it anyway

Boop, boop. My cat bumps noses with me in the morning in bed and it’s the best part of my day.

As a long-time Keras user, this might be a way to start using PyTorch without having to learn it all at once. That could be a way to "turn the corner" and finally embrace PyTorch in a meaningful work way. What I see is lots of new research stuff is in PyTorch and it's harder for Keras folks to embrace that.

Thanks for sharing this, and all the work that went into ti.