Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter
Deep learning is rapidly becoming the most popular topic in the industry. This book introduces trending deep learning concepts and their use cases with an industrial and application-focused approach. You will cover a range of projects covering tasks such as mobile vision, facial recognition, smart AI assistant, augmented reality, and more.
Offered by
Difficulty Level
Intermediate
Completion Time
12h40m
Language
English
About Book
Who Is This Book For?
This book is for data scientists, deep learning and computer vision engineers, and natural language processing (NLP) engineers who want to build smart mobile apps using deep learning methods. You will also find this book useful if you want to improve your mobile app’s user interface (UI) by harnessing the potential of deep learning. Basic knowledge of neural networks and coding experience in Python will be beneficial to get started with this book.
Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 12h40m total length
Introduction to Deep Learning for Mobile
Mobile Vision : Face Detection using on-device models
Chatbot using Actions on Google
Recognizing Plant Species
Live Captions Generation of Camera Feed
Building Artificial Intelligence Authentication System
Speech/Multimedia Processing: Generating music using AI
Reinforced Neural Network based Chess Engine
Building Image Super-Resolution Application
Road Ahead
Appendix
Related Resources
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