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

Episode 184 of the Data Science at Home podcast, hosted by Francesco Gadaleta, titled "Embedded Machine Learning: Part 3 - Network Quantization (Ep. 184)" was published on January 20, 2022 and runs 25 minutes.

January 20, 2022 ·25m · Data Science at Home

Summary

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 me Join us on Discord community chat to discuss the show, suggest new episodes and chat with other listeners!   Sponsored by Amethix Technologies Amethix 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.   Links Amethix Embedded Machine Learning Introduction to quantization on Pytorch

Episode Description