A Modern Guide to Hyperparameter Optimization

43cc5956e26cb1ed3185b4bbf4cbe3d5?s=47 Richard Liaw
December 04, 2019

A Modern Guide to Hyperparameter Optimization

Modern deep learning model performance is very dependent on the choice of model hyperparameters, and the tuning process is a major bottleneck in the machine learning pipeline. In this talk, we will overview modern methods for hyperparameter tuning and show how Ray Tune, a scalable open source hyperparameter tuning library with cutting edge tuning methods, can be easily incorporated into everyday workflows. Find Ray Tune on Github at https://github.com/ray-project/ray.

This talk was originally given at PyData LA2019.


Richard Liaw

December 04, 2019