DiscoverSoftware Engineering DailyHyperparameter Tuning with Richard Liaw
Hyperparameter Tuning with Richard Liaw

Hyperparameter Tuning with Richard Liaw

Update: 2020-08-28
Share

Description


Hyperparameters define the strategy for exploring a space in which a machine learning model is being developed. Whereas the parameters of a machine learning model are the actual data coming into a system, the hyperparameters define how those data points are fed into the training process for building a model to be used by an end consumer.


A different set of hyperparameters will yield a different model. Thus, it is important to try different hyperparameter configurations to see which models end up performing better for a given application. Hyperparameter tuning is an art and a science.


Richard Liaw is an engineer and researcher, and the creator of Tune, a library for scalable hyperparameter tuning. Richard joins the show to talk through hyperparameters and the software that he has built for tuning them.


Sponsorship inquiries: sponsor@softwareengineeringdaily.com


The post Hyperparameter Tuning with Richard Liaw appeared first on Software Engineering Daily.

Comments 
00:00
00:00
x

0.5x

0.8x

1.0x

1.25x

1.5x

2.0x

3.0x

Sleep Timer

Off

End of Episode

5 Minutes

10 Minutes

15 Minutes

30 Minutes

45 Minutes

60 Minutes

120 Minutes

Hyperparameter Tuning with Richard Liaw

Hyperparameter Tuning with Richard Liaw

Software Engineering Daily