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Deep Restricted Boltzmann Networks
[article]
2016
arXiv
pre-print
Building a good generative model for image has long been an important topic in computer vision and machine learning. Restricted Boltzmann machine (RBM) is one of such models that is simple but powerful. However, its restricted form also has placed heavy constraints on the models representation power and scalability. Many extensions have been invented based on RBM in order to produce deeper architectures with greater power. The most famous ones among them are deep belief network, which stacks
arXiv:1611.07917v1
fatcat:ovfy5n7lzbfw3mpesop5ulgvym