Workshop: How to Optimize Deep Learning Models for Production

Many data scientists are NOT optimizing their deep learning models for production, despite the significant advantages techniques like pruning and quantization can offer. Why? BECAUSE IT’S HARD!

Join Mark for a 45-minute workshop (plus Q&A) to hear about:

  1. What model pruning is, including benefits and downsides;
  2. Most useful pruning algorithms 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.

By the end of this session, 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.

RSVP via LinkedIn!

Date: May 25, 2022
Time: 1:00 PM EST

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