1 Why deep learning with structured data?

This chapter covers

  • A high-level overview of deep learning
  • Benefits and drawbacks of deep learning
  • Introduction to the deep learning software stack
  • Structured versus unstructured data
  • Objections to deep learning with structured data
  • Advantages of deep learning with structured data
  • Introduction to the code accompanying this book

Since 2012, we have witnessed what can only be called a renaissance of artificial intelligence. A discipline that had lost its way in the late 1980s is important again. What happened?

In October 2012, a team of students working with Geoffrey Hinton (a leading academic proponent of deep learning based at the University of Toronto) announced a result in the ImageNet computer ...

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