June 2019
Intermediate to advanced
308 pages
7h 21m
English
Content preview from Hands-On Deep Learning for IoT
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What this book covers
Chapter 1, End-to-End Life Cycle of IoT, discusses the end-to-end life cycle of IoT and its related concepts and components, as well as the key characteristics and issues of IoT data that demands the use of DL in IoT. Furthermore, it also covers the importance of analytics in the IoT and the motivation to use DL in data analytics.
Chapter 2, Deep Learning Architectures for IoT, provides the basic concepts of DL architectures and platforms, which will be used in all subsequent chapters. We will start with a brief introduction to machine learning (ML) and move to DL, which is a branch of ML based on a set of algorithms that attempt to model high-level abstractions in data. We will briefly discuss some of the most well-known ...
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