Overview of the applications in this lecture
		• Modeling relational data – This toy application shows that the hidden units can learn to represent sensible features that are not at all obvious. – It also bridges the gap between relational graphs and feature vectors. • Learning to predict the next word in a sentence – The toy model above can be turned into a useful model for predicting words to help a speech recognizer. • Reading documents – An impressive application that is used to read checks.