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Home > This Week in Machine Learning & Artificial Intelligence (AI) Podcast > Neural Network Quantization and Compression with Tijmen Blankevoort - TWIML Talk #292
Podcast: This Week in Machine Learning & Artificial Intelligence (AI) Podcast
Episode:

Neural Network Quantization and Compression with Tijmen Blankevoort - TWIML Talk #292
Category: Technology
Duration: 00:51:09
Publish Date: 2019-08-19 13:07:03
Description:

Today we’re joined by Tijmen Blankevoort, a staff engineer at Qualcomm, who leads their compression and quantization research teams. Tijmen is also co-founder of ML startup Scyfer, along with Qualcomm colleague Max Welling, who we spoke with back on episode 267. In our conversation with Tijmen we discuss: 

• The ins and outs of compression and quantization of ML models, specifically NNs,

• How much models can actually be compressed, and the best way to achieve compression, 

• We also look at a few recent papers including “Lottery Hypothesis."  

Check out the full show notes at twimlai.com/talk/292.

 
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