Compressing deep learning models: rewinding (Ep.105) - podcast episode cover

Compressing deep learning models: rewinding (Ep.105)

Jun 01, 202016 minEp. 102
--:--
--:--
Download Metacast podcast app
Listen to this episode in Metacast mobile app
Don't just listen to podcasts. Learn from them with transcripts, summaries, and chapters for every episode. Skim, search, and bookmark insights. Learn more

Episode description

As a continuation of the previous episode in this one I cover the topic about compressing deep learning models and explain another simple yet fantastic approach that can lead to much smaller models that still perform as good as the original one.

Don't forget to join our Slack channel and discuss previous episodes or propose new ones.

This episode is supported by Pryml.io
Pryml is an enterprise-scale platform to synthesise data and deploy applications built on that data back to a production environment.

 

References

Comparing Rewinding and Fine-tuning in Neural Network Pruning
https://arxiv.org/abs/2003.02389

 

For the best experience, listen in Metacast app for iOS or Android