Section 1: IoT Ecosystems, Deep Learning Techniques, and Frameworks

In this section, we will have an overview of IoT ecosystems, the key characteristics of IoT data (that is, real-time big data). We explain why analytics is necessary for data and why deep learning (DL) is important for analysis. We will also look into various techniques, their models and architectures, and their suitability in the IoT applications domain.

The following chapters are included in this section:

• Chapter 1, End-to-End Life Cycle of IoT
• Chapter 2, Deep Learning Architectures for IoT