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| 008 | 191029s2020 gw a o |||| 0|eng d | ||
| 020 | _a9783030317560 | ||
| 024 | 7 |
_a10.1007/978-3-030-31756-0 _2doi |
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_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 041 | 0 | _aeng | |
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_aQ325.5 _b2020 EB |
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| 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. |
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| 300 |
_a1 recurso en línea (XII, 342 páginas) _b135 ilustraciones, 95 ilustraciones a color |
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| 336 |
_2rdacontent _aTexto _btxt |
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| 337 |
_2rdamedia _aelectrónico _bc |
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| 338 |
_2rdacarrier _arecurso electrónico _bcr |
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| 347 |
_atext file _bPDF |
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_aStudies in Computational Intelligence _x1860-949X _v866 |
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| 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 |
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| 700 | 1 |
_aPedrycz, Witold _d1953- _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt _967495 |
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| 700 | 1 |
_aChen, Shyi-Ming _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt _998849 |
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| 773 | 0 | _tSpringer eBooks | |
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_iPrinted edition: _z9783030317553 |
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_iPrinted edition: _z9783030317577 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030317584 |
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_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) |
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_2lcc _cLE _n0 |
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_b03/2020 _dz _eb _zSI |
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