Why it matters
Wrong hyperparameters waste training. Efficient tuning matters.
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The architecture
Grid: exhaustive. Random: often better. Bayesian: Ax, Optuna.
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How it works end to end
Early stopping: kill bad runs.
Multi-fidelity: cheap approximations.
PBT: population-based training.
Frameworks: Ray Tune, Optuna, Ax.