The Conference for Machine Learning Innovation

Tuning Hyperparameters for Your Machine Learning Project

Keynote
Join the ML Revolution!
Register until conference starts:
✓ 2 in 1 conference special
✓ 10 % Team Discount
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Join the ML Revolution!
Register until conference starts:
✓ 2 in 1 conference special
✓ 10 % Team Discount
Register Now
Join the ML Revolution!
Register until the conference starts:
✓ 2-in-1 conference special
✓ 10 % Team Discount
Register Now
Join the ML Revolution!
Register until the conference starts:
✓ 2-in-1 conference special
✓ 10 % Team Discount
Register Now
Thank you for attending!
Register Now
Thank you for attending!
Register Now
Infos
Wednesday, December 8 2021
09:15 - 09:45
Room:
Remote only

When you start exploring multiple model architectures with different hyperparameter values, you need a way to quickly iterate. There are a lot of ways to handle this, but all of them require time and you might not be able to go back to a particular point to resume or restart training.

In this talk, you will learn how you can use DVC experiments to compare training metrics using two methods for tuning hyperparameters: grid search and random search. You’ll learn how to implement checkpoints to keep track of your experiment runs and you’ll see how quickly you can implement this on your existing projects.

Take me to the full program of Zum vollständigen Programm von Berlin Berlin .

This Session belongs to the Diese Session gehört zum Programm vom BerlinBerlin program. Take me to the program of . Hier geht es zum Programm von Munich Munich .

This Session belongs to the Diese Session gehört zum Programm vom BerlinBerlin program. Take me to the program of . Hier geht es zum Programm von Singapore Singapore .

This Session Diese Session belongs to the gehört zum Programm von BerlinBerlin program. Take me to the current program of . Hier geht es zum aktuellen Programm von Berlin Berlin , Munich Munich or oder Singapore Singapore .

Behind the Tracks