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020 _a9783030317560
024 7 _a10.1007/978-3-030-31756-0
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
041 0 _aeng
050 4 _aQ325.5
_b2020 EB
245 0 0 _aDeep Learning: Concepts and Architectures
_cedited by Witold Pedrycz, Shyi-Ming Chen
250 _aFirst edition
264 1 _aCham
_bSpringer International Publishing :
_bImprint: Springer
_c2020.
300 _a1 recurso en línea (XII, 342 páginas)
_b135 ilustraciones, 95 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aStudies in Computational Intelligence
_x1860-949X
_v866
490 0 _aIntelligent Technologies and Robotics (Springer-42732)
505 0 _aPreface -- Chapter 1. Deep Learning Architectures -- Chapter 2. Theoretical Characterization of Deep Neural Networks -- Chapter 3. Scaling Analysis of Specialized Tensor Processing Architectures for Deep Learning Models, etc.
520 3 _aThis book introduces readers to the fundamental concepts of deep learning and offers practical insights into how this learning paradigm supports automatic mechanisms of structural knowledge representation. It discusses a number of multilayer architectures giving rise to tangible and functionally meaningful pieces of knowledge, and shows how the structural developments have become essential to the successful delivery of competitive practical solutions to real-world problems. The book also demonstrates how the architectural developments, which arise in the setting of deep learning, support detailed learning and refinements to the system design. Featuring detailed descriptions of the current trends in the design and analysis of deep learning topologies, the book offers practical guidelines and presents competitive solutions to various areas of language modeling, graph representation, and forecasting.
988 _aPrimersemestre_2020_Robotics
650 7 _2embne
_aAprendizaje automático
_9166090
650 7 _2embne
_9142214
_aSistemas autoorganizativos
700 1 _aPedrycz, Witold
_d1953-
_eeditor
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_967495
700 1 _aChen, Shyi-Ming
_eeditor
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_998849
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783030317553
776 0 8 _iPrinted edition:
_z9783030317577
776 0 8 _iPrinted edition:
_z9783030317584
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-31756-0
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
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998 _b03/2020
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