Part 2: An Analysis of Single-Layer Networks in Unsupervised Feature Learning - PowerPoint Presentation

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Uploaded On 2018-10-30

Part 2: An Analysis of Single-Layer Networks in Unsupervised Feature Learning - PPT Presentation

Adam Coates Honglak Lee Andrew Y Ng 20170309 1 Introduction Feature learningrepresentation is a major topic when processing unlabeled highdimensional data For example how to cluster images by recognizing the objects inside ID: 702936

data layer whitening learning layer data learning whitening sparse features feature representation rbm image input pixels channels means images

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