The AIY Projects kits bring Google’s machine learning algorithms to developers that have limited experience in the field, to allow them to prototype machine learning applications and smart hardware more easily. The first Google AIY Projects kits, made available free with the MagPi, the official Raspberry Pi magazine, proved to be so popular that the magazine sold out in a matter of hours. The original Voice Kit allows you to prototype basic but still useful voice interfaces for machine learning applications on the Raspberry Pi. There’s also a Vision Kit that lets you build an image recognition device that can see and identify objects
Alasdair Allan explains how to set up and build the kits and how to use the Python SDK to use machine learning in the cloud and demonstrates how to run TensorFlow applications locally on a Raspberry Pi.
Alasdair Allan is a scientist and researcher who has authored more than 80 peer-reviewed papers and eight books and has been involved with several standards bodies. Originally an astrophysicist, Alasdair now works as a consultant and journalist, focusing on open hardware, machine learning, big data, and emerging technologies, with expertise in electronics, especially wireless devices and distributed sensor networks, mobile computing, and the internet of things. He runs a small consulting company and has written for Make magazine, Motherboard/VICE, Hackaday, Hackster.io, and the O’Reilly Radar. In the past, he has mesh-networked the Moscone Center, caused a US Senate hearing, and contributed to the detection of what was at the time the most distant object yet discovered.
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