Neural Network Quantization and Compression with Tijmen Blankevoort - TWIML Talk #292

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Recorded19 Aug 2019

Publisherfeeds.megaphone.fm ↗

Handlerec:12496246

Show notes

Today we’re joined by Tijmen Blankevoort, a staff engineer at Qualcomm, who leads their compression and quantization research teams. 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."

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