This chapter will primarily focus on understanding the difference between classic computer vision and neural networks, and also shows how to prepare images for use in deep learning models, and assist in building and training your first classifiers.
The following topics are covered in this chapter:
- Introduction to MXNet and its building blocks
- Building a digit classifier for the MNIST dataset
- Building a multiclass image classifier with CIFAR-10
- Building the cats and dogs classifier
- Reusing the models
