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