Implement popular deep learning techniques to make your Io T applications smarter Key Features Understand how deep learning facilitates fast and accurate analytics in Io TBuild intelligent voice and speech recognition apps in Tensor Flow and Chainer Analyze Io T data for making automated decisions and efficient predictions Book Description Artificial Intelligence is growing quickly, which is driven by advancements in neural networks(NN) and deep learning (DL). With an increase in investments in smart cities, smart healthcare, and industrial Internet of Things (Io T), commercialization of Io T will soon be at peak in which massive amounts of data generated by Io T devices need to be processed at scale. Hands-On Deep Learning for Io T will provide deeper insights into Io T data, which will start by introducing how DL fits into the context of making Io T applications smarter. It then covers how to build deep architectures using Tensor Flow, Keras, and Chainer for Io T. You’ll learn how to train convolutional neural networks(CNN) to develop applications for image-based road faults detection and smart garbage separation, followed by implementing voice-initiated smart light control and home access mechanisms powered by recurrent neural networks(RNN). You’ll master Io T applications for indoor localization, predictive maintenance, and locating equipment in a large hospital using autoencoders, Deep Fi, and LSTM networks. Furthermore, you’ll learn Io T application development for healthcare with Io T security enhanced. By the end of this book, you will have sufficient knowledge need to use deep learning efficiently to power your Io T-based applications for smarter decision making.What you will learn Get acquainted with different neural network architectures and their suitability in Io TUnderstand how deep learning can improve the predictive power in your Io T solutions Capture and process streaming data for predictive maintenance Select optimal frameworks for image recognition and indoor localization Analyze voice data for speech recognition in Io T applications Develop deep learning-based Io T solutions for healthcare Enhance security in your Io T solutions Visualize analyzed data to uncover insights and perform accurate predictions Who this book is for If you’re an Io T developer, data scientist, or deep learning enthusiast who wants to apply deep learning techniques to build smart Io T applications, this book is for you. Familiarity with machine learning, a basic understanding of the Io T concepts, and some experience in Python programming will help you get the most out of this book.
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