000			01778nam a22003615i 4500
999			_c28176 _d28147
001			20864877
003			EG-ScBUE
005			20200224143148.0
008			190222t2019 sz a f b 001 0 eng d
020			_a9783030145958
040			_aDLC _beng _erda _cDLC _dEG-ScBUE
082	0	4	_a006.35 _bKAM _222
100	1		_aKamath, Uday, _eauthor.
245	1	0	_aDeep learning for NLP and speech recognition / _cUday Kamath, John Liu, James Whitaker.
264		1	_aCham, Switzerland : _bSpringer, _c[2019]
264		4	_cc2019
300			_axxviii, 621 pages : _bcolor illustrations ; _c24 cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
504			_aIncludes bibliographical references and index.
520			_a"With the widespread adoption of deep learning, natural language processing (NLP), and speech applications in many areas (including Finance, Healthcare, and Government) there is a growing need for one comprehensive resource that maps deep learning techniques to NLP and speech and provides insights into using the tools and libraries for real-world applications. Deep Learning for NLP and Speech Recognition explains recent deep learning methods applicable to NLP and speech, provides state-of-the-art approaches, and offers real-world case studies with code to provide hands-on experience."
650		7	_aNatural language processing (Computer science) _2BUEsh
650		7	_aAutomatic speech recognition. _2BUEsh
653			_bCOMSCI _cFebruary2020
655			_vReading book _934232
700	1		_aLiu, John, _eauthor.
700	1		_aWhitaker, James, _eauthor.
906			_a0 _bibc _corignew _d2 _eepcn _f20 _gy-gencatlg
942			_2ddc _cBB