Overview of the rest of the tutorial
How to fine-tune a greedily trained generative model to
be better at discrimination.
How to learn a kernel for a Gaussian process.
How to use deep belief nets for non-linear dimensionality
reduction and document retrieval.
How to use deep belief nets for sequential data.
How to learn a generative hierarchy of conditional
random fields.