TensorFlow Lite : Solution for running ML on-device / Pete Warden.

Author
Warden, Pete [Browse]
Format
Video/Projected medium
Language
English
Εdition
1st edition.
Published/​Created
O'Reilly Media, Incorporated, 2020.
Description
1 online resource.

Details

Subject(s)
Author
Related name
Library of Congress genre(s)
Series
Safari Books Online (Series) [More in this series]
Summary note
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.
Copyright note
Copyright © O'Reilly Media, Incorporated.
Issuing body
Made available through: Safari, an O'Reilly Media Company.
Source of description
Online resource; Title from title screen (viewed February 28, 2020)
Participant(s)/​Performer(s)
Presenter, Pete Warden, Nupur Garg.
OCLC
1143019209
Other standard number
  • 0636920373803
Statement on language in description
Princeton University Library aims to describe library materials in a manner that is respectful to the individuals and communities who create, use, and are represented in the collections we manage. Read more...
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