EPISODE · Jan 20, 2022 · 25 MIN
Embedded Machine Learning: Part 3 - Network Quantization (Ep. 184)
from Data Science at Home · host Francesco Gadaleta <frag>
In this episode I speak about neural network quantization, a technique that makes networks feasible for embedded systems and small devices.There are many quantization techniques depending on several factors that are all important to consider during design and implementation.Enjoy the episode! Chat with meJoin us on Discord community chat to discuss the show, suggest new episodes and chat with other listeners! Sponsored by Amethix TechnologiesAmethix use advanced Artificial Intelligence and Machine Learning to build data platforms and predictive engines in domain like finance, healthcare, pharmaceuticals, logistics, energy. Amethix provide solutions to collect and secure data with higher transparency and disintermediation, and build the statistical models that will support your business. LinksAmethix Embedded Machine LearningIntroduction to quantization on Pytorch This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit datascienceathome.substack.com
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Embedded Machine Learning: Part 3 - Network Quantization (Ep. 184)
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