April 2020
Intermediate to advanced
380 pages
9h 24m
English
Content preview from Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter
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What this book covers
Chapter 1, Introduction to Deep Learning for Mobile, talks about the emerging importance of deep learning on mobile devices. It covers the basic concepts of machine learning and deep learning, also introducing you to the various options available for integrating deep learning with Android and iOS. The chapter also introduces implementations of deep learning projects using native and cloud-based learning methodologies.
Chapter 2, Mobile Vision – Face Detection Using On-Device Models, introduces you to mobile vision and mobile vision models available in ML Kit. You will learn how to create a face detection model in Keras and understand how to convert that to be used for mobile devices. The model uses the Google Cloud Vision ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.