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dc.contributor.authorMartinez-Ramon, Manel
dc.contributor.authorAjith, Meenu
dc.contributor.authorRajendra Kurup, Aswathy
dc.date.accessioned2024-10-15T01:39:27Z
dc.date.available2024-10-15T01:39:27Z
dc.date.issued2024
dc.identifier.isbn978-1119861867
dc.identifier.isbn1119861861
dc.identifier.urihttps://thuvienso.hoasen.edu.vn/handle/123456789/15837
dc.description416 pagesvi
dc.description.abstractAn engaging and accessible introduction to deep learning perfect for students and professionals In Deep Learning: A Practical Introduction, a team of distinguished researchers delivers a book complete with coverage of the theoretical and practical elements of deep learning. The book includes extensive examples, end-of-chapter exercises, homework, exam material, and a GitHub repository containing code and data for all provided examples.vi
dc.language.isoenvi
dc.publisherWileyvi
dc.subjectDeep Learningvi
dc.subjectnetworkvi
dc.subjectartificial intelligencevi
dc.subjectcomputer sciencevi
dc.titleDeep Learning: A Practical Introductionvi
dc.typeBookvi


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