Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/1102
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dc.contributor.authorAtienza, Rowel-
dc.date.accessioned2026-07-17T04:45:45Z-
dc.date.available2026-07-17T04:45:45Z-
dc.date.issued2018-10-
dc.identifier.isbn978-1-78862-941-6-
dc.identifier.urihttp://hdl.handle.net/123456789/1102-
dc.description.abstractIn recent years, deep learning has made unprecedented success stories in difficult problems in vision, speech, natural language processing and understanding, and all other areas with abundance of data. The interest in this field by companies, universities, governments, and research organizations has accelerated the advances in the field. This book covers select important advances in deep learning. The advanced theories are explained by giving a background of the principles, digging into the intuition behind the concepts, implementing the equations and algorithms using Keras, and examining the results.en_US
dc.language.isoenen_US
dc.publisherPackt Publishingen_US
dc.relation.ispartofseries1311018;-
dc.subjectAdvanced Deep Learning with Kerasen_US
dc.titleAdvanced Deep Learning with Kerasen_US
dc.title.alternativeApply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and moreen_US
dc.typeBooken_US
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