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

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 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 Learninghttps://tvm.apache.org/https://github.com/pytorch/glowhttps://docs.nvidia.com/cuda/cuda-compiler-driver-nvcc/index.html     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