Please use this identifier to cite or link to this item: http://192.168.9.248:8080/jspui/handle/123456789/845
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dc.contributor.authorAbbas, S. H.-
dc.contributor.authorShelke, Mayura V.-
dc.date.accessioned2024-02-06T04:43:52Z-
dc.date.available2024-02-06T04:43:52Z-
dc.date.issued2023-
dc.identifier.isbn978-9355159540-
dc.identifier.urihttp://192.168.9.248:8080/jspui/handle/123456789/845-
dc.description.abstractDeep Learning is very broad and complex and to navigate this maze you need a clear and global vision of it. We represent the two fundamental branches of Deep Learning: Supervised Deep Learning and Unsupervised Deep Learning. We found that this is the best structure for mastering Deep Learning.The book is the most complete and the most up-to-date textbook on deep learning, and can be used as a reference and further-reading materials. Not all topics in the book will be covered in class.en_US
dc.language.isoenen_US
dc.publisherPublisher: Book Riversen_US
dc.subjectComputer science and Engineeringen_US
dc.titleINTRODUCTION TO DEEP LEARNINGen_US
dc.typeBooken_US
Appears in Collections:Books/Book Chapters/Edited Books

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