Video Highlights: How to Optimize Deep Learning Models for Production

In the video presentation embedded below, our friends over at Neural Magic present a compelling workshop: How to Optimize Deep Learning Models for Production. Topics covered:

1. What model pruning is, including benefits and downsides
2. SOTA pruning algorithms and techniques that you can implement today
3. SparseML, an open-source tool that makes pruning easy and successful
4. Guaranteed ways to get production performance out of a pruned model.

After watching this video, you’ll be able to optimize your NLP and/or computer vision model, apply your own data with a few lines of code, and deploy it on commodity CPUs at GPU-level speeds.

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