Now it's time to get to some computer vision or image classification problems that are a little more general than our earlier MNIST handwriting example. A lot of the same principles apply, but we will be using some new types of operations to build Convolutional Neural Networks (CNNs).

This chapter will cover the following topics:

• Introduction to CNNs
• Building an example CNN
• Assessing the results and making improvements