"Gradient-Descent Algorithms" - similar Books and Chapters

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Book	Author(s)	Year	Publisher
Conjugate Gradient Algorithms in Nonconvex Optimization	Radoslaw Pytlak	2009	Springer Berlin Heidelberg
Conjugate Gradient Algorithms and Finite Element Methods	Michal Krizek; Pekka Neittaanmäki; Roland Glowinski; Sergey Korotov	2004	Springer Berlin Heidelberg
Fitting Linear Models: An Application of Conjugate Gradient Algorithms	Allen Mclntosh	1982	Springer New York
Practical Mathematical Optimization: Basic Optimization Theory and Gradient-Based Algorithms	Jan A Snyman; Daniel N Wilke	2nd ed. 2018	Springer International Publishing
Gradient /	Heisler, Jeffrey,; Yeh, I-Chen,; Sekhon, Baljinder,; Chen, Yi,; Stulman, Timothy,; Leroux, Philippe.; Wiley, Frank.; Reich, Steve,
Electronic Design Automation of Analog ICs combining Gradient Models with Multi-Objective Evolutionary Algorithms	Frederico A.E. Rocha; Ricardo M.F. Martins; Nuno C.C. Lourenço; Nuno C.G. Horta	2014	Springer International Publishing
Zhang-Gradient Control	Yunong Zhang; Binbin Qiu; Xiaodong Li	1st ed. 2021	Springer Nature Singapore
The Gradient Test	Artur Lemonte	2016	Academic Press
Gradient Index Optics	Erich Merchand	1978	Academic Press
Functionally gradient materials	J. B. Holt	1993	American Ceramic Society
Gradient liquid chromatography	Candin Liteanu	1974	E. Horwood;Halsted Press
Descent	Ken MacLeod	2014	Orbit
Descent	David Bergelson; Dovid Bergelson; Joseph Sherman	1999	Modern Langugage Association of America
Descent	Katie O'Sullivan	2015	Wicked Whale Publishing
Descent	Tim Johnston	2015	Thorndike Press, a part of Gale, Cengage Learning
Descent /	Smith, Chas.; Fin, Ojá.; Smith, Chas.; Smith, Chas.; Smith, Chas.	[2007]	DRAM,
Descent	Editors of Phaidon Press	September 25, 2000	Phaidon Press
Descent	Ken MacLeod	2014
Descent.	James Whitfield Ellison	1970	McCall Pub. Co.
DESCENT	SABRINA BROADBENT	2004	CHATTO AND WINDUS
Boook	Author(s)	Year	Publisher

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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Gradient Descent Algorithms	Phillip A. Regalia	Adaptive IIR Filtering in Signal Processing and Control	Phillip Regalia	1995	Routledge
Gradient-Descent Algorithms		Digital Signal Processing Handbook	VIJAY MADISETTI	1997	CRC Press
Gradient-Descent Algorithms		Digital Signal Processing Handbook	Madisetti V., Williams D. (eds.)	1999	CRC
9: Gradient Descent Algorithms		An Introduction to Neural Networks	James A. Anderson	1995	MIT Press,
Stochastic gradient descent algorithms		Machine Learning Algorithms	Bonaccorso, Giuseppe	2017	Packt Publishing
1133 Gradient Descent Algorithms		Emitter Detection and Geolocation for Electronic Warfare	Nicholas A. O’Donoughue	2019	Artech House
1233 Gradient Descent Algorithms		Emitter Detection and Geolocation for Electronic Warfare	Nicholas A. O’Donoughue	2019	Artech House
9. Gradient Descent Algorithms		An introduction to neural networks /	Anderson, James A.	[1995], ©1995.	MIT Press,
Stochastic gradient descent algorithms		Machine Learning Algorithms	Giuseppe Bonaccorso	2018	Packt Publishing
2181 Descent and Gradient algorithms		Parallel Iterative Algorithms. From Sequential to Grid Computing	Jacques Mohcine Bahi, Sylvain Contassot-Vivier, Raphaël Couturier	2008	Chapman & Hall/CRC
2351 Blind Stochastic Gradient Descent Algorithms		Applications of space-time adaptive processing	Richard Klemm, Richard Klemm	2004	Institution of Electrical Engineers
Gradient Descent		Encyclopedia of Neuroscience	Marc D. Binder; Nobutaka Hirokawa; Uwe Windhorst	2009	Springer Berlin Heidelberg
Gradient Descent	Robert H. Chen; Chelsea Chen	Artificial Intelligence: An Introduction for the Inquisitive Reader	Robert H. Chen; Chelsea C. Chen	2022	Routledge
Gradient Descent		Big Data Analytics and Intelligence: A Perspective for Health Care	-, Poonam Tanwar (editor), Vishal Jain (editor), Chuan-Ming Liu (editor), Vishal Goyal (editor)	2020	Emerald Publishing
Gradient descent		IBM Watson Solutions for Machine Learning: Achieving Successful Results Across Computer Vision, Natural Language Processing and AI Projects Using Watson Cognitive Tools (English Edition)	Arindam Ganguly	2021	BPB Publications
Gradient Descent		Programming Machine Learning: From Coding to Deep Learning	Paolo Perrotta	2020	Pragmatic Bookshelf
Gradient Descent		The Hundred-Page Machine Learning Book	Andriy Burkov	2019	Andriy Burkov
Gradient Descent		Speech and Language Processing	Daniel Jurafsky, James H. Martin	2021
Gradient Descent		Practical Deep Learning: A Python-Based Introduction	Ron Kneusel	2021	No Starch Press
Gradient Descent		Deep Learning: A Visual Approach	Andrew Glassner	2021	No Starch Press
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries