October 2018
Intermediate to advanced
246 pages
6h 26m
English
Content preview from Machine Learning Projects for Mobile Applications
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What this book covers
Chapter 1, Mobile Landscapes in Machine Learning, makes us familiar with the basic ideas behind TensorFlow Lite and Core ML.
Chapter 2, CNN Based Age and Gender Identification Using Core ML, teaches us how to build an iOS application to detect the age, gender, and emotion of a person from a camera feed or from the user's photo gallery using the existing data models that were built for the same purpose.
Chapter 3, Applying Neural Style Transfer on Photos, teaches us how to build a complete iOS and Android application in which image transformations are applied to our own images in a fashion similar to the Instagram app.
Chapter 4, Deep Diving into the ML Kit with Firebase, explores the Google Firebase-based ML Kit platform ...
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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.