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…

An introduction to conceptual tools you'll need to produce the best possible machine learning model you can using hyperparameter tuning with PyTorch. Takes a step by step approach to doing model tuning with a basic neural network for a computer vision task.…

Title:
Fast and Hardware-Aware Neural Architecture Search

Abstract:
This talk will go over different AutoML methods that share the common themes of efficiency and hardware-awareness. We will present (1) a fast predictor-based search algorithm, (2) zero…