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?

1.1 Overview of deep learning

1.2 Benefits and drawbacks of deep learning

1.3 Overview of the deep learning stack

1.4 Structured vs. unstructured data

1.5 Objections to deep learning with structured data

1.6 Why investigate deep learning with a structured data problem?

1.7 An overview of the code accompanying this book

1.8 What you need to know

Summary

1 Why deep learning with structured data?

This chapter covers

1.1 Overview of deep learning

1.2 Benefits and drawbacks of deep learning

1.3 Overview of the deep learning stack

1.4 Structured vs. unstructured data

1.5 Objections to deep learning with structured data

1.6 Why investigate deep learning with a structured data problem?

1.7 An overview of the code accompanying this book

1.8 What you need to know

Summary

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