000			03229nam a22004575i 4500
999			_c362186 _d362186 _x1
001			362186
003			ES-MaUEC
005			20230102121514.0
006			a||||fo|||| 00| 0
007			cr nn 008mamaa
008			220319s2021 sz | s |||| 0|eng d
020			_a9783030665197
024	7		_a10.1007/978-3-030-66519-7 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQ325.5 _b2021 EB
245	0	0	_aAdvanced Deep Learning for Engineers and Scientists : _bA Practical Approach _cedited by Kolla Bhanu Prakash, Ramani Kannan, S.Albert Alexander, G. R. Kanagachidambaresan
250			_aFirst edition 2021
264		1	_aCham _bSpringer International Publishing _c2021
300			_a1 recurso en línea (XVII, 285 páginas) _b 281 ilustraciones, 261 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aEAI/Springer Innovations in Communication and Computing _x2522-8609
490	0		_aEngineering (SpringerNature-11647)
490	0		_aEngineering (R0) (SpringerNature-43712)
505	0		_aIntroduction -- Introduction to ANN -- Introduction to Deep Learning -- Deep Soft Computing using Python -- Working with Keras -- Deep learning Applications using Python -- Advanced Deep learning techniques -- Conclusion.
520	3		_aThis book provides a complete illustration of deep learning concepts with case-studies and practical examples useful for real time applications. This book introduces a broad range of topics in deep learning. The authors start with the fundamentals, architectures, tools needed for effective implementation for scientists. They then present technical exposure towards deep learning using Keras, Tensorflow, Pytorch and Python. They proceed with advanced concepts with hands-on sessions for deep learning. Engineers, scientists, researches looking for a practical approach to deep learning will enjoy this book. Presents practical basics to advanced concepts in deep learning and how to apply them through various projects; Discusses topics such as deep learning in smart grids and renewable energy & sustainable development; Explains how to implement advanced techniques in deep learning using Pytorch, Keras, Python programming.
988			_aSpringer_Engineering_2021
650		7	_2embne _9166090 _aAprendizaje automático
700	1		_aPrakash, Kolla Bhanu _eeditor literario _4 _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aKannan, Ramani _eeditor literario _4 _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aAlexander, S. Albert _eeditor literario _4 _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aKanagachidambaresan, G. R. _eeditor literario _4 _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9783030665180
776	0	8	_iPrinted edition: _z9783030665203
776	0	8	_iPrinted edition: _z9783030665210
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-66519-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2022 _dz _eIG _zSI