Auto-Tuning Hyperparameters with Optuna and PyTorch

Crissman Loomis, an Engineer at Preferred Networks, explains how Optuna helps simplify and optimize the process of tuning hyperparameters for machine learning projects made in PyTorch.

In this presentation, get an understanding of the function of hyperparameters in training an algorithm, how Optuna automates the tuning process, what other benefits Optuna offers, how to apply Optuna to PyTorch, and what your final code should look like.

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