What this book covers
Chapter 1, Why Deep Learning?, provides an overview of deep learning. We begin with the history of deep learning, its rise, and its recent advances in certain fields. We will also describe some of its challenges, as well as its future potential.
Chapter 2, Getting Yourself Ready for Deep Learning, is a starting point to set oneself up for experimenting with and applying deep learning techniques in the real world. We will answer the key questions as to what skills and concepts are needed to get started with deep learning. We will cover some basic concepts of linear algebra, the hardware requirements for deep learning implementation, as well as some of its popular software frameworks. We will also take a look at setting ...
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