0

March 24, 2017 AT 10:00 am

3 cool machine learning projects using TensorFlow and the Raspberry Pi #piday #raspberrypi @raspberry_Pi

NewImage

Via Opensource.com

In early 2017, the Raspberry Pi Foundation announced a Google developer survey, which requested feedback from the maker community on what tools they wanted on the Raspberry Pi. The blog post says that Google has developed tools for machine learning, IoT, wearables, robotics, and home automation, and that the survey mentions face- and emotion-recognition, speech-to-text translation, natural language processing, and sentiment analysis. “The survey will help them get a feel for the Raspberry Pi community, but it’ll also help us get the kinds of services we need,” the post explains. Meanwhile, data scientists aren’t waiting around to put Google’s TensorFlow, an open source software library for machine learning, to work on the Raspberry Pi.

Let’s take a look at a few cool examples of machine learning with TensorFlow on the Raspberry Pi.

Read more.


3055 06Each Friday is PiDay here at Adafruit! Be sure to check out our posts, tutorials and new Raspberry Pi related products. Adafruit has the largest and best selection of Raspberry Pi accessories and all the code & tutorials to get you up and running in no time!e!


Check out all the Circuit Playground Episodes! Our new kid’s show and subscribe!

Have an amazing project to share? Join the SHOW-AND-TELL every Wednesday night at 7:30pm ET on Google+ Hangouts.

Join us every Wednesday night at 8pm ET for Ask an Engineer!

Learn resistor values with Mho’s Resistance or get the best electronics calculator for engineers “Circuit Playground”Adafruit’s Apps!


Maker Business — Transforming Today’s Bad Jobs into Tomorrow’s Good Jobs

Wearables — Snap a picture

Electronics — To Y5V or not to Y5V?

Biohacking — Quantified Bob’s Experience with Ketone Esters

Get the only spam-free daily newsletter about wearables, running a "maker business", electronic tips and more! Subscribe at AdafruitDaily.com !



No Comments

No comments yet.

Sorry, the comment form is closed at this time.