DEEP LEARNING - A LITERATURE SURVEY

dc.contributor.authorT, Saranya
dc.contributor.authorD, Nivetha
dc.date.accessioned2020-09-15T05:15:47Z
dc.date.available2020-09-15T05:15:47Z
dc.date.issued2018-09
dc.description.abstractDeep Learning is a subfield of machine learning concerned with algorithms inspired by the structure and function of the brain called artificial neural networks. Deep learning (also known as deep structured learning or hierarchical learning) is part of a broader family of machine learning methods based on learning data representations, learning can be supervised, semi-supervised or unsupervised. Deep learning models are vaguely inspired by information processing and communication patterns in biological nervous systems yet have various differences from the structural and functional properties of biological brains, which make them incompatibleen_US
dc.identifier.isbn9-788193-708873
dc.identifier.urihttps://dspace.psgrkcw.com/handle/123456789/1481
dc.language.isoenen_US
dc.publisherPSGR Krishnammal College for Womenen_US
dc.titleDEEP LEARNING - A LITERATURE SURVEYen_US
dc.title.alternativeRecent trends in computing technologiesen_US
dc.typeBooken_US

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