Some examples also have end-to-end tutorials using a specificĭemonstrates the absolute basics of using TensorFlow Lite forĬaptures audio with a microphone to detect the words "yes" and "no"Ĭaptures accelerometer data to classify three different physical gestures
Himax WE-I Plus EVB Endpoint AI Development Board.Adafruit TensorFlow Lite for Microcontrollers Kit.The following development boards are supported: It can also generate projects forĭevelopment environments such as Mbed. It has been tested extensively with many processors based on theĪrchitecture, and has been ported to other architectures includingįramework is available as an Arduino library. TensorFlow Lite for Microcontrollers is written in C++ 11 and requires a 32-bit Problems and normal operation, and magical toys that can help kids learn in fun Routine, intelligent industrial sensors that understand the difference between Imagine smart appliances that can adapt to your daily This can also help preserve privacy, since no data Things devices, without relying on expensive hardware or reliable internetĬonnections, which is often subject to bandwidth and power constraints and Learning to tiny microcontrollers, we can boost the intelligence of billions ofĭevices that we use in our lives, including household appliances and Internet of Microcontrollers are typically small, low-powered computing devices that areĮmbedded within hardware that requires basic computation. Check out the site for inspiration to create your own
TensorFlow Lite for Microcontrollers Experimentsįeatures work by developers combining Arduino and TensorFlow to create awesomeĮxperiences and tools. It doesn't require operating system support, any standard C or C++
TheĬore runtime just fits in 16 KB on an Arm Cortex M3 and can run many basic On microcontrollers and other devices with only few kilobytes of memory. TensorFlow Lite for Microcontrollers is designed to run machine learning models