Neural Network Quantization and Compression with Tijmen Blankevoort - TWIML Talk #292
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) - Podcast tekijän mukaan Sam Charrington
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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."
