Raspberry Pi Receives Official TensorFlow 1.9 AI Support

Popular open source machine learning framework TensorFlow has announced its full artificial intelligence framework support for Raspberry Pi. Users of the single-board, low-cost, high-performance computer will now be able to use the TensorFlow AI in different and creative ways to build a variety of applications.

Raspberry Pi Receives Official TensorFlow 1.9 AI Support

Pete Warden, a software engineer at TensorFlow wrote on his blog, “We’ve long supported Linux, MacOS, Windows, iOS, and Android, but despite the heroic efforts of many contributors, running TensorFlow on a Raspberry Pi has involved a lot of work. Thanks to a collaboration with the Raspberry Pi Foundation, we’re now happy to say that the latest 1.9 release of TensorFlow can be installed from pre-built binaries using Python’s pip package system.”

TensorFlow was first launched in 2015, as an “open source machine learning framework for everyone”.

We’re excited about this because the Raspberry Pi is used by many innovative developers, and is also widely used in education to introduce people to programming, so making TensorFlow easier to install will help open up machine learning to new audiences,” added Warden.

Warden quoted Eben Upton, founder of the Raspberry Pi project in his blog. Upton said:

“It is vital that a modern computing education covers both fundamentals and forward-looking topics. With this in mind, we’re very excited to be working with Google to bring TensorFlow machine learning to the Raspberry Pi platform. We’re looking forward to seeing what fun applications kids (of all ages!) create with it.”

Read more: Raspberry Pi Receives Official TensorFlow 1.9 AI Support


About The Author

Ibrar Ayyub

I am an experienced technical writer holding a Master's degree in computer science from BZU Multan, Pakistan University. With a background spanning various industries, particularly in home automation and engineering, I have honed my skills in crafting clear and concise content. Proficient in leveraging infographics and diagrams, I strive to simplify complex concepts for readers. My strength lies in thorough research and presenting information in a structured and logical format.

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