Pruning Deep Learning Models for Success
According to a recent survey, 59% of data scientists are not optimizing their deep learning models for production, despite the performance gains techniques like quantization and pruning can offer.
Why? Because optimizations take a painstakingly long time to execute, and standard machine learning frameworks are just starting to officially support techniques like quantization.
We are here to tell you that it doesn’t have to be hard. View this webinar recording to:
- Get and overview of pruning, including benefits and downsides
- Discover new tools that make pruning easy and successful
- Learn how to prune models for performance in production.
Date recorded: May 28, 2020
Presenter: Mark Kurtz, Machine Learning Lead, Neural Magic