000			01176nam a2200373Ia 4500
020			_a978-0262035613
082			_a006.31 _bGOO/D
100			_aGoodfellow Lan
100			_aBangio, Yoshua
100			_aCourville Aaron
245		0	_aDeep Learning
260			_bMIT Press _aCambridge _c2016
300			_axiii, 775p.
490			_aAdaptive Computation and Machine Learning series
650			_aLinear Algebra
650			_aProbability and Information Theory
650			_aNumerical Computation
650			_aMachine Learning Basics
650			_aDeep Feedforward Networks
650			_aRegularization for Deep Learning
650			_aOptimization for Training Deep Models
650			_aConvolutional Networks
650			_aSequence Modeling: Recurrent and Recursive Nets
650			_aPractical Methodology
650			_aLinear Factor Models
650			_aAutoencoders
650			_a Representation Learning
650			_aStructured Probabilistic Models for Deep Learning
650			_aMonte Carlo Methods
650			_aConfronting the Partition Function
650			_aApproximate Inference
650			_aDeep Generative Models
942			_cBK
999			_c1229 _d1229