In this chapter, we explored DBNs and looked at how these could be used to build classification pipelines using one or more RBM layers. We looked at various parameters within the RBM layer and their effects on accuracy, reconstruction loss, and test set accuracy. We also looked at single layer and multilayer DBNs using one or more RBMs.
In the next chapter we look at Generative models and how they differ from discriminative models.
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