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Deep belief network

Known as: DBN, Deep Belief Networks, Deep belief net 
In machine learning, a deep belief network (DBN) is a generative graphical model, or alternatively a type of deep neural network, composed of… Expand
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2018
Review
2018
In the era of the Internet of Things (IoT), an enormous amount of sensing devices collect and/or generate various sensory data… Expand
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Review
2018
Review
2018
Deep learning has demonstrated tremendous success in variety of application domains in the past few years. This new field of… Expand
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Review
2017
Review
2017
A great deal of attention has been given to deep learning over the past several years, and new deep learning techniques are… Expand
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Review
2017
Review
2017
This work was supported in part the Royal Society of the UK, the National Natural Science Foundation of China under Grants… Expand
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Highly Cited
2012
Highly Cited
2012
We propose a novel context-dependent (CD) model for large-vocabulary speech recognition (LVSR) that leverages recent advances in… Expand
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Highly Cited
2011
Highly Cited
2011
Context-Dependent Deep-Neural-Network HMMs, or CD-DNN-HMMs, combine the classic artificial-neural-network HMMs with traditional… Expand
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Highly Cited
2009
Highly Cited
2009
There has been much interest in unsupervised learning of hierarchical generative models such as deep belief networks. Scaling… Expand
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Highly Cited
2009
Highly Cited
2009
In recent years, deep learning approaches have gained significant interest as a way of building hierarchical representations from… Expand
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Highly Cited
2009
Highly Cited
2009
Deep multi-layer neural networks have many levels of non-linearities allowing them to compactly represent highly non-linear and… Expand
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Highly Cited
2007
Highly Cited
2007
Motivated in part by the hierarchical organization of the cortex, a number of algorithms have recently been proposed that try to… Expand
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