Hands-On Deep Learning for IoT: Developing Intelligent IoT Applications

Wed, 20/12/2023 - 23:19

Authors: Dr. Abdur Razzaque, Md. Rezaul Karim

As artificial intelligence rapidly advances, propelled by progress in neural networks (NN) and deep learning (DL), the commercialization of the Internet of Things (IoT) is reaching its peak. With increased investments in smart cities, smart healthcare, and Industrial Internet of Things (IIoT), the monetization of IoT will soon be at its zenith, necessitating the scalable processing of vast amounts of data generated by IoT devices.

This hands-on deep learning course for IoT delves deeper into IoT data, starting by introducing how DL aligns with the context to make IoT applications smarter. It then covers building deep architectures using TensorFlow, Keras, and Chainer for IoT.

Participants will learn how to train convolutional neural networks (CNN) for developing applications such as road defect detection based on images, intelligent waste separation, implementing smart lighting control through voice, and accessing smart homes provided by recurrent neural networks (RNN).

Mastery of localizing IoT applications indoors, predictive maintenance, and device positioning in a large hospital using automatic encoding, DeepFi, and LSTM networks will be achieved. Moreover, participants will learn to develop IoT applications for healthcare with enhanced IoT security.

By the end of this book, readers will have enough knowledge to effectively use deep learning to make their IoT-based applications smarter.

What You Will Learn

Familiarize yourself with various neural network architectures and their suitability in IoT
Understand how deep learning can enhance predictive power in your IoT solutions
Capture and process streaming data for predictive maintenance
Choose optimal frameworks for image recognition and indoor localization
Analyze voice data for speech recognition in IoT applications
Develop deep learning-based IoT solutions for healthcare
Enhance security in your IoT solutions
Visualize analyzed data to discover detailed insights and make accurate predictions

Who This Book Is For

This book is for IoT developers, data scientists, or deep learning enthusiasts looking to apply deep learning techniques to build intelligent IoT applications. Familiarity with machine learning, a basic understanding of IoT concepts, and some experience in Python programming will help you leverage this book to the fullest.

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