000			01811nam a22004217i 4500
001			20252231
003			IIITD
005			20240308020002.0
008			180108s2017 caua b 001 0 eng d
010			_a 2017448783
015			_aGBB704534 _2bnb
016	7		_a018171666 _2Uk
020			_a9789352135608
035			_a(OCoLC)ocn992798385
040			_aIG$ _beng _cIG$ _erda _dOCLCO _dTEF _dBDX _dBTCTA _dYDXCP _dOCLCQ _dOCLCF _dFM0 _dCHVBK _dOCLCO _dOQX _dSHS _dU3G _dOCLCA _dDLC
042			_alccopycat
050	0	0	_aTA347.A78 _bB83 2017
082	0	4	_a006.31 _223 _bBUD-F
100	1		_aBuduma, Nikhil
245	1	0	_aFundamentals of deep learning : _bdesigning next-generation machine intelligence algorithms _cNikhil Buduma ; with contributions by Nicholas Locascio.
260			_aNew Delhi : _bO'Reilly, _c©2017.
300			_axii, 283 p. : _bill.; _c24 cm.
504			_aIncludes bibliographical references and index.
505	0		_aThe neural network -- Training feed-forward neural networks -- Implementing neural networks in TensorFlow -- Beyond gradient descent -- Convolutional neural networks -- Embedding and representation learning -- Models for sequence analysis -- Memory augmented neural networks -- Deep reinforcement learning.
650		0	_aArtificial intelligence.
650		0	_aMachine learning.
650		0	_aNeural networks (Computer science)
650		7	_aArtificial intelligence. _2fast
650		7	_aMachine learning. _2fast
650		7	_aNeural networks (Computer science) _2fast
650		7	_aDeep learning _2gnd
650		7	_aKünstliche Intelligenz _2gnd
650		7	_aMaschinelles Lernen _2gnd
700	1		_aLocascio, Nicholas
906			_a7 _bcbc _ccopycat _d2 _encip _f20 _gy-gencatlg
942			_2ddc _cBK _028
999			_c24325 _d24325