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TensorFlow Lite with Pete Warden

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Manage episode 282004202 series 1433944
Content provided by Machine Learning Archives - Software Engineering Daily. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Machine Learning Archives - Software Engineering Daily or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

TensorFlow Lite is an open source deep learning framework for on-device inference. TensorFlow Lite was designed to improve the viability of machine learning applications on phones, sensors, and other IoT devices. Pete Warden works on TensorFlow Lite at Google and joins the show to talk about the world of machine learning applications and the necessary frameworks and devices necessary to build them.

Sponsorship inquiries: [email protected]

The post TensorFlow Lite with Pete Warden appeared first on Software Engineering Daily.

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176 episodes

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Manage episode 282004202 series 1433944
Content provided by Machine Learning Archives - Software Engineering Daily. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Machine Learning Archives - Software Engineering Daily or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

TensorFlow Lite is an open source deep learning framework for on-device inference. TensorFlow Lite was designed to improve the viability of machine learning applications on phones, sensors, and other IoT devices. Pete Warden works on TensorFlow Lite at Google and joins the show to talk about the world of machine learning applications and the necessary frameworks and devices necessary to build them.

Sponsorship inquiries: [email protected]

The post TensorFlow Lite with Pete Warden appeared first on Software Engineering Daily.

  continue reading

176 episodes

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