000			01121nam a22002777a 4500
001			20577286
003			IIITD
005			20240415150046.0
008			180710s2018 maua b 001 0 eng
010			_a 2018026936
020			_a9780262039512
040			_aDLC _beng _cDLC _erda _dDLC
042			_apcc
050	0	0	_aQ325.7 _b.C43 2018
082	0	0	_a006.31 _223 _bCHA-I
100	1		_aCharniak, Eugene
245	1	0	_aIntroduction to deep learning _cby Eugene Charniak
260			_aMassachusetts : _bMIT Press, _c©2018
300			_axii, 174 p. : _bill. ; _c24 cm
504			_aIncludes bibliographical references (pages 165-168) and index.
505			_t1. Feed-forward neural nets _t2. Tensorflow _t3. Convolutional neural networks _t4. Word embeddings and recurrent NNs _t5. Sequence-to-sequence learning _t6. Deep reinforcement learning _t7. Unsupervised neural-network models.
650		0	_aComputational learning theory.
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cBK
999			_c172589 _d172589