000			02088cam a2200373 i 4500
001			21677471
005			20240310115742.0
006			m |o d |
008			180523|2014 ||||f |00| 0 eng
010			_a 2019745366
020			_a9789811052095
035			_a(Sirsi) l2019745366
040			_aDLC _beng _epn _erda _cDLC
082	0	4	_a006.3 _223
100	1		_aDeng, Li, _d1958- _eauthor _98363
245	1	0	_aDeep learning : _bmethods and applications _c/ Li Deng, Dong Yu.
264		1	_aBoston, [Massachusetts] : _b now, _c2014
300			_axi, 199 pages : _billustrations (black and white) _c24 cm.
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
490	1		_aFoundations and trends in signal processing; _v7:3-4
504			_aIncludes bibliographical references.
505	0		_aEndorsement 1. Introduction 2. Some Historical Context of Deep Learning 3. Three Classes of Deep Learning Networks 4. Deep Autoencoders - Unsupervised Learning 5. Pre-Trained Deep Neural Networks - A Hybrid 6. Deep Stacking Networks and Variants - Supervised Learning 7. Selected Applications in Speech and Audio Processing 8. Selected Applications in Language Modeling and Natural Language Processing 9. Selected Applications in Information Retrieval 10. Selected Applications in Object Recognition and Computer Vision 11. Selected Applications in Multimodal and Multi-task Learning 12. Conclusion References
520			_aProvides an overview of general deep learning methodology and its applications to a variety of signal and information processing tasks. This is a timely and important book for researchers and students with an interest in deep learning methodology
596			_a1 3
650		0	_aArtificial intelligence.
650		0	_aComputational learning theory _98364
650		0	_aMachine learning _92745
650		0	_aMathematical statistics. _94307
650		0	_aNatural language processing (Computer science)
650		0	_aSignal processing _xDigital techniques _92
700	1		_aLiu, Yang, _eauthor _98365
999			_c2582 _d2582