Embedded Machine Learning: Part 3 - Network Quantization (Ep. 184)

Published: Jan. 20, 2022, 8:42 a.m.

In this episode I speak about neural network quantization, a technique that makes networks feasible for embedded systems and small devices.\nThere are many quantization techniques depending on several factors that are all important to consider during design and implementation.\nEnjoy the episode!\n\xa0\nChat with me\nJoin us on Discord community chat to discuss the show, suggest new episodes and chat with other listeners!\n\xa0\nSponsored by Amethix Technologies\nAmethix 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.\n\xa0\nLinks\nAmethix Embedded Machine Learning\nIntroduction to quantization on Pytorch