Hands-On Deep Learning for IoT
This book will provide you an overview of Deep Learning techniques to facilitate the analytics and learning in various IoT apps. We will take you through each process - from data collection, analysis, modeling, statistics, and monitoring. We will make IoT data speak with a set of popular frameworks, like TensorFlow, TensorFlow Lite, and Chainer.
Offered by
Difficulty Level
Intermediate
Completion Time
10h16m
Language
English
About Book
Who Is This Book For?
If you’re an IoT developer, data scientist, or deep learning enthusiast who wants to apply deep learning techniques to build smart IoT applications, this book is for you. Familiarity with machine learning, a basic understanding of the IoT concepts, and some experience in Python programming will help you get the most out of this book.
Hands-On Deep Learning for IoT
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 10h16m total length
End-to-End Life Cycle of IoT
Deep Learning Architectures for IoT
Image Recognition in IoT
Audio/Speech/Voice Recognition in IoT
Indoor localization in IoT
Physiological and Psychological State Detection in IoT
Security and privacy for IoT
Predictive Maintenance for IoT
Deep learning in Healthcare IoT
What’s next: Wrapping Up and Future Directions
Related Resources
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