In the last chapter, we learned about different machine learning (ML) algorithms. The focus of this chapter is neural networks based on multiple layered models, also known as deep learning models. They have become a buzzword in the last few years and an absolute favorite of investors in the field of artificial-intelligence-based startups. Achieving above human level accuracy in the task of object detection and defeating the world's Dan Nine Go master are some of the feats possible by deeplearning (DL). In this chapter and a few subsequent chapters, we will learn about the different DL models and how to use DL on our IoT generated data. In this chapter, we will start with a glimpse into the journey of DL, and learn about four popular models, the multilayered perceptron (MLP), the convolutional neural network (CNN), recurrent neural network (RNN), and autoencoders. Specifically, you will learn about the following:
- The history of DL and the factors responsible...