Chapter 5. Convolutional Neural Networks for Computer Vision

Note

Learning Objectives

By the end of this chapter, you will be able to:

• Explain how convolutional neural networks work

• Construct a convolutional neural network

• Improve the constructed model by using data augmentation

• Use state-of-the-art models by implementing transfer learning

Note

In this chapter, we will learn how to use probability distributions as a form of unsupervised learning.