Intro to On-device Machine Learning (TF Fall 2020 Updates)
In this session, Developer Advocate Khanh LeViet (@khanhlvg) talks about TensorFlow Lite, the framework that brings ML to mobile and embedded systems. You'll learn about the differences between ML on a supercomputer and ML on a portable device, and the tools and technologies that Google has developed to allow you to bring your work to mobile devices without reinventing the wheel. We'll cover the basics and also special subjects like TinyML and model optimization and quantization.
Learn more about TensorFlow Lite → https://goo.gle/2Wk5MPM
TensorFlow Lite example apps → https://goo.gle/3byxWNf
TensorFlow Lite for Microcontrollers → https://goo.gle/2yiYyUl
Robotic vacuum cleaner powered by TF → https://goo.gle/36MmhtI
Check out more TF Fall 2020 updates → https://goo.gle/tf-fall-updates
Subscribe to TensorFlow → https://goo.gle/TensorFlow
#tensorflowupdates
In this session, Developer Advocate Khanh LeViet (@khanhlvg) talks about TensorFlow Lite, the framework that brings ML to mobile and embedded systems. You’ll learn about the differences between ML on a supercomputer and ML on a portable device, and the tools and technologies that Google has developed to allow you to bring your work to mobile devices without reinventing the wheel. We’ll cover the basics and also special subjects like TinyML and model optimization and quantization.
Learn more about TensorFlow Lite → https://goo.gle/2Wk5MPM
TensorFlow Lite example apps → https://goo.gle/3byxWNf
TensorFlow Lite for Microcontrollers → https://goo.gle/2yiYyUl
Robotic vacuum cleaner powered by TF → https://goo.gle/36MmhtI
Check out more TF Fall 2020 updates → https://goo.gle/tf-fall-updates
Subscribe to TensorFlow → https://goo.gle/TensorFlow
#tensorflowupdates
