TensorFlow is Google's open-source software library for machine learning that developers and researchers can use for a range of application areas. The well-known and widely spread library comes in different flavors ready to run on various operating systems and hardware. Specifically, the TensorFlow Lite for Microcontrollers (TFLM) version is designed to run on microcontroller systems where the hardware resources are more limited compared to larger computerized systems. The footprint of TFLM is typically in the order of only 10's of kB. Now you can develop solutions with TensorFlow for the Spresense microcontroller board from Sony.

We're happy to announce that the cloud-based AI tool Edge Impulse now supports Sony's Spresense microcontroller board. It's free to start using Edge Impulse and it simplifies the work with training and deploying AI models, including the data collection. With Spresense and Edge Impulse, you get an end-to-end solution for industrial machine learning with ultra-low power consumption and high computing capability. With Spresense's state-of-the-art visual and hi-res audio features along its 6-core microcontroller and a range of sensor add-on options, you have a powerful edge device that you can train using the graphical user interface of Edge Impulse. In a simple manner of dragging, dropping and clicking, you step your way through the machine learning process.