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Delivered by Tue, 14th of May
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Machine learning has come to the 'edge' - small microcontrollers that can run a very miniature version of TensorFlow Lite to do ML computations.
But you don't need super complex hardware to start developing your own TensorFlow models! Adafruit have adapted Adafruit's popular PyBadge board to add a microphone so you can dip your toes into machine learning waters. It does everything that the PyBadge does, and as Adafruit make more projects that use Machine Learning we'll adapt this board to make it better and better for machine learning.
The EdgeBadge is a compact board - it's credit card sized. It's powered by Adafruit's favorite chip, the ATSAMD51, with 512KB of flash and 192KB of RAM. Adafruit add 2 MB of QSPI flash for file storage, handy for TensorFlow Lite files, images, fonts, sounds, or other assets.
Adafruit have added a PDM microphone on the front as an input for micro speech recognition. Adafruit's Arduino library has some demos you can get started with to recognize various word pairs like "yes/no", "up/down" and "cat/dog". TensorFlow Lite for microcontrollers is very cutting-edge so expect to see a lot of development happening in this area, with lots of code and process changes.
Product Dimensions: 86.3mm x 54.3mm x 13.6mm / 3.4" x 2.1" x 0.5"
Product Weight: 29.6g / 1.0oz
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