000			03655cam a22005175i 4500
001			21736935
003			OSt
005			20220412104404.0
006			m |o d |
007			cr |||||||||||
008			171206s2017 xxu|||| o |||| 0|eng
010			_a 2019754609
020			_a9781484230961
024	7		_a10.1007/978-1-4842-3096-1 _2doi
035			_a(DE-He213)978-1-4842-3096-1
040			_aDLC _beng _epn _erda _cDLC
072		7	_aCOM004000 _2bisacsh
072		7	_aUYQ _2bicssc
072		7	_aUYQ _2thema
082	0	4	_a005.76813 _21 _bPATS
100	1		_aPattanayak, Santanu. _929464
245	1	0	_aPro Deep Learning with TensorFlow : _ba mathematical approach to advanced artificial intelligence in python / _cBy Santanu Pattanayak.
250			_a1st ed.
260			_aNew York : _bApress , _c2020
264		1	_aBerkeley, CA : _bApress : _bImprint: Apress, _c2017.
300			_axxi, 397p. _c24 cm.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
505	0		_aChapter 1: Mathematical Foundations -- Chapter 2: Introduction to Deep Learning Concepts and TensorFlow -- Chapter 3: Convolutional Neural Networks -- Chapter 4: Natural Language Processing Using Recursive Neural Networks -- Chapter 5: Unsupervised Learning with Restricted Boltzmann Machines and Auto Encoders -- Chapter 6: Advanced Neural Networks.
520			_aDeploy deep learning solutions in production with ease using TensorFlow. You'll also develop the mathematical understanding and intuition required to invent new deep learning architectures and solutions on your own. Pro Deep Learning with TensorFlow provides practical, hands-on expertise so you can learn deep learning from scratch and deploy meaningful deep learning solutions. This book will allow you to get up to speed quickly using TensorFlow and to optimize different deep learning architectures. All of the practical aspects of deep learning that are relevant in any industry are emphasized in this book. You will be able to use the prototypes demonstrated to build new deep learning applications. The code presented in the book is available in the form of iPython notebooks and scripts which allow you to try out examples and extend them in interesting ways. You will be equipped with the mathematical foundation and scientific knowledge to pursue research in this field and give back to the community. What You'll Learn: Understand full stack deep learning using TensorFlow and gain a solid mathematical foundation for deep learning Deploy complex deep learning solutions in production using TensorFlow Carry out research on deep learning and perform experiments using TensorFlow.
588			_aDescription based on publisher-supplied MARC data.
650		0	_aMathematical foundations _929465
650		0	_aConvolutional neural networks _929466
650		0	_aAdvanced neural networks _929467
650		0	_aBig data. _929468
650		0	_aPython (Computer program language). _929469
650	1	4	_aArtificial Intelligence. _0https://scigraph.springernature.com/ontologies/product-market-codes/I21000 _929470
650	2	4	_aBig Data. _0https://scigraph.springernature.com/ontologies/product-market-codes/I29120 _929471
650	2	4	_aPython. _0https://scigraph.springernature.com/ontologies/product-market-codes/I29080 _929472
776	0	8	_iPrint version: _tPro deep learning with tensorflow _z9781484230954 _w(DLC) 2017962327
776	0	8	_iPrinted edition: _z9781484230954
776	0	8	_iPrinted edition: _z9781484230978
776	0	8	_iPrinted edition: _z9781484252499
906			_a0 _bibc _corigres _du _encip _f20 _gy-gencatlg
942			_2ddc _cBK _e1st _k005.76813 PATS
999			_c222382 _d222382