Overview of the tutorial
• A brief history of deep learning.
• How to learn multi-layer generative models of unlabelled
data by learning one layer of features at a time.
– What is really going on when we stack RBMs to form a
deep belief net.
• How to use generative models to make discriminative
training methods work much better for classification and
• How to modify RBMs to deal with real-valued input.