Naive Evolution comes from Large-Scale Evolution of Image Classifiers. It randomly initializes a population based on search space. For each generation, it chooses better ones and do some mutation (e.g., change a hyperparameter, add/remove one layer) on them to get the next generation. Naive Evolution requires many trials to works, but it's very simple and easily to expand new features.
This repository has been archived by the owner on Sep 18, 2024. It is now read-only.