Convolutional Deep Belief Networks for Scalable Unsupervised Learning of Hierarchical Representations

E1883115 UNEXPLORED

"Convolutional Deep Belief Networks for Scalable Unsupervised Learning of Hierarchical Representations" is a research paper that introduces a convolutional deep belief network architecture capable of learning hierarchical, shift-invariant feature representations from large-scale unlabeled data.

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Label	Occurrences
Convolutional Deep Belief Networks for Scalable Unsupervised Learning of Hierarchical Representations canonical	1
Unsupervised Learning of Hierarchical Representations with Convolutional Deep Belief Networks	1

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Honglak Lee → notableWork → Convolutional Deep Belief Networks for Scalable Unsupervised Learning of Hierarchical Representations ⓘ

Honglak Lee → notableWork → Unsupervised Learning of Hierarchical Representations with Convolutional Deep Belief Networks ⓘ

linked to: Convolutional Deep Belief Networks for Scalable Unsupervised Learning of Hierarchical Representations