{"title":"TensorFlow Lite for Microcontrollers Kit","handle":"tensorflow-lite-for-microcontrollers-kit","url":"/products/tensorflow-lite-for-microcontrollers-kit","description":"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! We've curated a simple kit to dip your toes into machine learning waters.Kit includes:\nAdafruit PyBadge with SAMD51 Cortex M4F processor @ 120MHz, with display, speaker and buttons\nElectret Microphone Amplifier - MAX4466 with Adjustable Gain\nJST PH 3-Pin to Female Socket Cable - 200mm\nLithium Ion Polymer Battery with Short Cable - 3.7V 350mAh\nThe 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.You 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\". 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.Some light soldering is required to attach the microphone headers onto the board.Here's a list of everything you get with the PyBadge, you can read a lot more about it on the product page\n\nATSAMD51J19 @ 120MHz with 3.3V logic/power - 512KB of FLASH + 192KB of RAM\n\n2 MB of SPI Flash for storing images, sounds, animations, whatever!\n\n1.8\" 160x128 Color TFT Display connected to its own SPI port\n\n8 x Game/Control Buttons with nice silicone button tops (these feel great)\n\n5 x NeoPixels for badge dazzle, or game score-keeping\n\nTriple-axis accelerometer (motion sensor)\n\nLight sensor, reverse-mount so that it points out the front\nBuilt in buzzer mini-speaker\n\nMono Class-D speaker driver for 4-8 ohm speakers, up to 2 Watts\nLiPoly battery port with built in recharging capability\nUSB port for battery charging, programming and debugging\nTwo female header strips with Feather-compatible pinout so you can plug any FeatherWings in\nJST ports for NeoPixels, sensor input, and I2C (you can fit I2C Grove connectors in here)\nReset button\nOn-Off switch\n","vendor":"Adafruit","product_type":"physical","in_stock":false,"options":[],"variants":[{"id":5119,"title":"Default Title","sku":"AF-4317","price":87.7,"on_sale":false,"in_stock":false,"available_quantity":0,"option1":"Default Title"}]}