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Author Warden, Pete, author.

Title TensorFlow Lite [O'Reilly electronic resource] : Solution for running ML on-device / Warden, Pete. [O'Reilly electronic resource]

Edition 1st edition.
Publication Info. O'Reilly Media, Inc., 2020.
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Description 1 online resource (1 video file, approximately 34 min.)
digital rdatr
video file
Summary Pete Warden and Nupur Garg (Google) take you through TensorFlow Lite, TensorFlow's lightweight cross-platform solution for mobile and embedded devices. It enables on-device machine learning inference with low latency, high performance, and a small binary size. It's the standard solution at Google and the primary inference framework for all on-device use cases. Prerequisite knowledge Familiarity with ML What you'll learn Learn how TensorFlow Lite tools work and how to convert and optimize models for mobile and embedded devices.
System Details Mode of access: World Wide Web.
Performer Presenter, Pete Warden, Nupur Garg.
Reproduction Electronic reproduction. Boston, MA : Safari. Available via World Wide Web.
Subject Machine learning.
Artificial intelligence.
Apprentissage automatique.
Intelligence artificielle.
artificial intelligence.
Genre Electronic videos.
Added Author Garg, Nupur, author.
Safari, an O'Reilly Media Company.
Standard No. 0636920373803
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