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Convolutional Deep Belief Networks

In computer science, Convolutional Deep Belief Network (CDBN) is a type of deep artificial neural network that is composed of multiple layers of… (More)
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Topic mentions per year

Topic mentions per year

2009-2017
02420092017

Related topics

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8 relations
Artificial neural networkComputer scienceConvolutional neural networkDeep learning
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Related mentions per year

Related mentions per year

1937-2018
19401960198020002020
Convolutional Deep Belief Networks
Artificial neural network
Computer science
Image processing
Greedy algorithm
Deep learning

Papers overview

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2017
2017
Preserving differential privacy in convolutional deep belief networks
The remarkable development of deep learning in medicine and healthcare domain presents obvious privacy issues, when deep neural… (More)
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2015
2015
Efficient Training of Convolutional Deep Belief Networks in the Frequency Domain for Application to High-Resolution 2D and 3D Images
Deep learning has traditionally been computationally expensive, and advances in training methods have been the prerequisite for… (More)
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2014
2014
Convolutional deep belief networks for feature extraction of EEG signal
In recent years, deep learning approaches have been successfully used to learn hierarchical representations of image data, audio… (More)
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Highly Cited
2012
Highly Cited
2012
Learning hierarchical representations for face verification with convolutional deep belief networks
Most modern face recognition systems rely on a feature representation given by a hand-crafted image descriptor, such as Local… (More)
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Highly Cited
2011
Highly Cited
2011
Unsupervised learning of hierarchical representations with convolutional deep belief networks
There has been much interest in unsupervised learning of hierarchical generative models such as deep belief networks (DBNs… (More)
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Highly Cited
2010
Highly Cited
2010
Convolutional Deep Belief Networks on CIFAR-10
We describe how to train a two-layer convolutional Deep Belief Network (DBN) on the 1.6 million tiny images dataset. When… (More)
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2010
2010
Temporal Continuity Learning for Convolutional Deep Belief Networks
The human visual system can robustly recognize objects, even though a single object can project many different images onto the… (More)
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Highly Cited
2009
Highly Cited
2009
Unsupervised feature learning for audio classification using convolutional deep belief networks
In recent years, deep learning approaches have gained significant interest as a way of building hierarchical representations from… (More)
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Highly Cited
2009
Highly Cited
2009
Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
There has been much interest in unsupervised learning of hierarchical generative models such as deep belief networks. Scaling… (More)
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Highly Cited
2009
Highly Cited
2009
Measuring Invariances in Deep Networks
For many pattern recognition tasks, the ideal input feature would be invariant to multiple confounding properties (such as… (More)
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