000			01547nam a22002657a 4500
005			20260713172925.0
008			260713s2024 |||||||| |||| 00| 0 eng d
020			_a9781617296482
040			_cPK-LaUMT
082			_a006.315 _bMAT-
245	1	0	_aMath and architectures of deep learning / _cKrishnendu Chaudhury . . . [et al.] ; foreword by Prith Banerjee
260			_aShelter Island : _bManning Publications, _c2024
300			_axxvi, 523 p.
500			_aIndex present
520			_aDiscover what's going on inside the black box! To work with deep learning you'll have to choose the right model, train it, preprocess your data, evaluate performance and accuracy, and deal with uncertainty and variability in the outputs of a deployed solution. This book takes you systematically through the core mathematical concepts, linear algebra, and Bayesian inference, all from a deep learning perspective. Math and archtectures of deep learning teaches the math, theory, and programming principles of deep learning models laid out side by side, and then puts them into practice with well-annotated Python code. You'll progrress from algebra, calculus, and statistics all the way to state-of-the-art DL architectures taken from the latest research
546			_aEng
650			_aMachine learning
650			_aMathematics
700	1		_aChaudhury, Krishnendu _913624
700	1		_aAshok, Ananya H. _913625
700	1		_aNarumanchi, Sujay _913626
700	1		_aShankar, Devashish _913627
700	1		_aBanerjee, Prith _913628
942			_cBK
999			_c141403 _d141403