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#hyperband
1 articles
01
2026-08-27
·
Deep Learning Basics
·
★ MEMBER
·
PAPER
·
12 min read
Hyperparameter Search — Hunches, Grids, and Bayesian Optimization
Gradients tell you nothing about the learning rate, so you have to go looking. Why grid search is weak, why search spaces should be carved on a log scale, what a Bayesian acquisition function is actually counting, and why early stopping beats a cleverer search algorithm — with Optuna code and the traps that bite in production.