The Big Benchmarking Roundup for machine learning and edge computing by @aallan @hacksterio @tensorflow #tensorflow #tensorflowlite #tinyML @raspberry_pi
Over the last six months I’ve been looking at machine learning on the edge, publishing a series of articles trying to answer some of the questions that people have been asking about inferencing on embedded hardware.
But, after a half year of posts, talks, and videos, it’s all bit of a sprawling mess and the overall picture is of what’s really happening is rather confusing.
So here’s a great big benchmarking roundup!
Excellent overview… and …
The Raspberry Pi 4 is probably the cheapest, most affordable, most accessible way to get started with embedded machine learning right now. Use it on its own with TensorFlow Lite for competitive performance, or with the Coral USB Accelerator from Google for ‘best in class’ performance.
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Python for Microcontrollers – Adafruit Daily — Python on Microcontrollers Newsletter: A New Arduino MicroPython Package Manager, How-Tos and Much More! #CircuitPython #Python #micropython @ThePSF @Raspberry_Pi
EYE on NPI – Adafruit Daily — EYE on NPI Maxim’s Himalaya uSLIC Step-Down Power Module #EyeOnNPI @maximintegrated @digikey
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