Summary: Teaching Networks to Generate Digits
Explore training Deep Belief Networks by stacking Restricted Boltzmann Machines and using techniques like contrastive divergence and the wake-sleep algorithm. Understand how to implement these models in TensorFlow 2 to generate digit images, gaining insight into low-level training procedures and preparing for advanced generative models.
We'll cover the following...
We'll cover the following...
In this chapter, we learned about one of the most important models from the beginnings of the deep learning revolution, the DBN. We saw that DBNs are constructed by stacking together RBMs, and how these undirected models can be trained using CD.
The ...