Embedded Machine Learning: Part 4 - Machine Learning Compilers (Ep. 185)

Episode 185 of the Data Science at Home podcast, hosted by Francesco Gadaleta, titled "Embedded Machine Learning: Part 4 - Machine Learning Compilers (Ep. 185)" was published on January 25, 2022 and runs 34 minutes.

January 25, 2022 ·34m · Data Science at Home

Summary

In this episode I speak about machine learning compilers, the most important tools to bridge the gap between high level frontends, ML backends and hardware target architectures. There are several compilers one can choose. Before that, let's get familiar with what a compiler is supposed to do. 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 https://tvm.apache.org/ https://github.com/pytorch/glow https://docs.nvidia.com/cuda/cuda-compiler-driver-nvcc/index.html

Episode Description