Machine Learning for Mobile
This book will help you build intelligent mobile applications for Android and iOS using machine learning. In the process, you will use popular machine learning toolkits such as TensorFlow Lite, Core ML, ML Kit and Fritz to build and deploy state-of-the-art machine learning models for mobile devices.
Offered by
Difficulty Level
Intermediate
Completion Time
9h8m
Language
English
About Book
Who Is This Book For?
If you are a mobile app developer or a machine learning enthusiast keen to use machine learning to build smart mobile applications, this book is for you. Some experience with mobile application development is all you need to get started with this book. Prior experience with machine learning will be an added bonus
Machine Learning for Mobile
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 9h8m total length
Introduction to Machine Learning on Mobile
Supervised and Unsupervised Learning Algorithms
Random Forest on iOS
Tensor Flow Mobile in Android
Regression Using CoreML in iOS
ML Kit and Image Labelling
Spam Message Detection in iOS - CoreML
Fritz – iOS and Android
Neural Networks on Mobile
Mobile Application using Google Cloud Vision
Future of ML on Mobile Applications
Appendix
Related Resources
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