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Hands-on TensorFlow Lite for intelligent mobile apps

Author: Juan Miguel Valverde Martinez
Publisher: [Place of publication not identified] : Packt, [2018]
Edition/Format:   eVideo : Clipart/images/graphics : EnglishView all editions and formats
Summary:
"This complete guide will teach you how to build and deploy Machine Learning models on your mobile device with TensorFlow Lite. You will understand the core architecture of TensorFlow Lite and the inbuilt models that have been optimized for mobiles. You will learn to implement smart data-intensive behavior, fast, predictive algorithms, and efficient networking capabilities with TensorFlow Lite. You will master the  Read more...
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Details

Material Type: Clipart/images/graphics, Internet resource, Videorecording
Document Type: Internet Resource, Computer File, Visual material
All Authors / Contributors: Juan Miguel Valverde Martinez
OCLC Number: 1031706555
Notes: Title from title screen (Safari, viewed April 17, 2018).
Release date from resource description page (Safari, viewed April 17, 2018).
Performer(s): Presenter, Juan Miguel Valverde Martinez.
Description: 1 online resource (1 streaming video file (2 hr., 43 min., 9 sec.)) : digital, sound, color
Responsibility: Juan Miguel Valverde Martinez.

Abstract:

"This complete guide will teach you how to build and deploy Machine Learning models on your mobile device with TensorFlow Lite. You will understand the core architecture of TensorFlow Lite and the inbuilt models that have been optimized for mobiles. You will learn to implement smart data-intensive behavior, fast, predictive algorithms, and efficient networking capabilities with TensorFlow Lite. You will master the TensorFlow Lite Converter, which converts models to the TensorFlow Lite file format. This course will teach you how to solve real-life problems related to Artificial Intelligence--such as image, text, and voice recognition--by developing models in TensorFlow to make your applications really smart. You will understand what Machine Learning can do for you and your mobile applications in the most efficient way. With the capabilities of TensorFlow Lite you will learn to improve the performance of your mobile application and make it smart."--Resource description page.

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