Affiliation:
1. BNM Institute of Technology, Visvesvaraya Technological University, India
Abstract
In recent times, it is observed that many technologies converge to result into efficient systems. Among others, internet of things has wide applications. IoT is a collective network of devices that collect data, compute, communicate, and act accordingly. The data surge has resulted in various kinds of data analytics for which machine learning and deep learning are extensively used. IoT collects data in real time and processes this data. Deep learning mechanism has a potential to make IoT systems efficient. The deep learning in IoT is the disruptive innovation that leads to various smart things. This chapter highlights the prominent applications in which deep learning has blended with IoT and discusses the applications like smart cities, smart homes, smart farms, smart supply chain management, and smart healthcare. The chapter concludes with a discussion on the challenges and limitations of the IoT infrastructure.