Summary
Over the past decade, we have had the privilege of hearing about the greatest inventions of deep learning from many of the great scientists and companies working in Artificial Intelligence. Deep learning is an approach to machine learning which has shown tremendous growth in its usefulness and popularity in the last few years. The reason is mostly due to its capability to work with large datasets involving high dimensional data, resolving major issues such as vanishing gradient problems, and so on, and techniques to train deeper networks. In this chapter, we have explained most of these concepts in detail, and have also classified the various algorithms of deep learning, which will be elucidated in detail in subsequent chapters.
The next chapter of this book will introduce the association of big data with deep learning. The chapter will mainly focus on how deep learning plays a major role in extracting valuable information from large-scale data.
