chapter one

1    Introduction to probabilistic deep learning

This chapter covers

  • What is a probabilistic model?
  • What is deep learning and when do you use it?
  • Comparing traditional machine learning and deep learning approaches for image classification
  • The underlying principles of both curve fitting and neural networks
  • Comparing non-probabilistic and probabilistic models
  • What probabilistic deep learning is and why it’s useful

1.1      A first look at probabilistic models

1.2      A first brief look at deep learning

1.3      Classification

1.4      Curve fitting

1.5      When to use and when not to use DL?

1.6      What you’ll learn in this book

1.7      Summary