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01 ·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.