{"product_id":"tensorflow-lite-for-microcontrollers-kit-discontinued","title":"TensorFlow Lite for Microcontrollers Kit [discontinued]","description":"\u003cp\u003eMachine learning has come to the 'edge' - small microcontrollers that can run a very miniature version of TensorFlow Lite to do ML computations. \u003c\/p\u003e\u003cp\u003eBut you don't need super complex hardware to start developing your own TensorFlow models! We've curated a simple kit to dip your toes into machine learning waters.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKit includes:\u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eAdafruit PyBadge with SAMD51 Cortex M4F processor @ 120MHz, with display, speaker and buttons\u003c\/li\u003e\n\u003cli\u003eElectret Microphone Amplifier - MAX4466 with Adjustable Gain\u003c\/li\u003e\n\u003cli\u003eJST PH 3-Pin to Female Socket Cable - 200mm\u003c\/li\u003e\n\u003cli\u003eLithium Ion Polymer Battery with Short Cable - 3.7V 350mAh\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThe kit uses our PyBadge as your edge processor. It's a compact board - it's credit card sized. It's powered by our favorite chip, the ATSAMD51, with 512KB of flash and 192KB of RAM. We add 2 MB of QSPI flash for file storage, handy for TensorFlow Lite files, images, fonts, sounds, or other assets.\u003c\/p\u003e\u003cp\u003eYou can plug in a microphone into the ports at the bottom, to add microphone input for micro speech recognition. Our Arduino library has some demos you can get started with to recognize various word pairs like \"yes\/no\", \"up\/down\" and \"cat\/dog\". \u003cstrong\u003eTensorFlow 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.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eSome light soldering is required to attach the microphone headers onto the board.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eHere's a list of everything you get with the PyBadge, you can read a lot more about it on the product page\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eATSAMD51J19\u003c\/strong\u003e @ 120MHz with 3.3V logic\/power - 512KB of FLASH + 192KB of RAM\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e2 MB of SPI Flash\u003c\/strong\u003e for storing images, sounds, animations, whatever!\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e1.8\" 160x128 Color TFT Display\u003c\/strong\u003e connected to its own SPI port\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e8 x Game\/Control Buttons \u003c\/strong\u003ewith nice silicone button tops (these feel great)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e5 x NeoPixels\u003c\/strong\u003e for badge dazzle, or game score-keeping\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTriple-axis accelerometer\u003c\/strong\u003e (motion sensor)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eLight sensor\u003c\/strong\u003e, reverse-mount so that it points out the front\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003eBuilt in buzzer mini-speaker\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMono Class-D speaker driver\u003c\/strong\u003e for 4-8 ohm speakers, up to 2 Watts\u003c\/li\u003e\n\u003cli\u003eLiPoly battery port with built in recharging capability\u003c\/li\u003e\n\u003cli\u003eUSB port for battery charging, programming and debugging\u003c\/li\u003e\n\u003cli\u003eTwo female header strips with Feather-compatible pinout so you can plug any FeatherWings in\u003c\/li\u003e\n\u003cli\u003eJST ports for NeoPixels, sensor input, and I2C (you can fit I2C Grove connectors in here)\u003c\/li\u003e\n\u003cli\u003eReset button\u003c\/li\u003e\n\u003cli\u003eOn-Off switch\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003ch2\u003eTechnical Details\u003c\/h2\u003e\u003cdiv id=\"tab-technical-details-content\" class=\"panel-collapse collapse in\"\u003e \u003cdiv class=\"row\"\u003e \u003cdiv class=\"col-lg-12 col-md-12 col-sm-12 col-xs-12\"\u003e\u003c\/div\u003e \u003c\/div\u003e\n\u003cul id=\"product-files\"\u003e \u003c\/ul\u003e \u003cdiv class=\"row\"\u003e\n\u003cdiv class=\"col-lg-2 col-md-3 col-sm-3 col-xs-4\"\u003e\u003c\/div\u003e\n\u003cdiv class=\"col-lg-2 col-md-3 col-sm-3 col-xs-4\"\u003e\u003c\/div\u003e\n\u003c\/div\u003e \u003c\/div\u003e","brand":"Adafruit","offers":[{"title":"Default Title","offer_id":48624061219034,"sku":"rqo1789681365048","price":37.43,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0824\/8318\/3834\/files\/tensorflow-lite-for-microcontrollers-kit-discontinued_1.jpg?v=1789681369","url":"https:\/\/memoryfoamwear.shop\/products\/tensorflow-lite-for-microcontrollers-kit-discontinued","provider":"My Store","version":"1.0","type":"link"}