Now that we have learned how to build and train a simple neural network, we should build some models that are suitable for real-world problems.
In this chapter, we will discuss how to build a model to recognize and generate handwriting, as well as perform collaborative filtering.
In this chapter, we will cover the following topics:
- Loading data – the Modified National Institute of Standards and Technology (MNIST) database
- Building a neural network for handwriting recognition
- Building an autoencoder – generating MNIST digits
- Building a Restricted Boltzmann Machine (RBM) for Netflix-style collaborative filtering
