"Neural Network Design and the Complexity of Learning"

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Book	Author(s)	Year	Publisher
Neural Network Design and the Complexity of Learning	J. Stephen Judd	1990	MIT Press
Neural Network Design and the Complexity of Learning	J. Stephen Judd	1990	MIT Press,
Neural Network Learning and Expert Systems	Stephen I. Gallant	1993	MIT Press
Neural Network Learning and Expert Systems	Stephen I. Gallant	1993	MIT Press,
Neural network learning and expert systems	Stephen I. Gallant	1993	MIT Press
Neural Network Learning: Theoretical Foundations	Martin Anthony; Peter L. Bartlett	1999-11	Cambridge University Press
Animal learning and cognition: a neural network approach /	Schmajuk, Nestor A.	1997.	Cambridge University Press,
Mathematical methods for neural network analysis and design /	Golden, Richard M.	[1996], ©1996.	MIT Press,
Explanation-Based Neural Network Learning: A Lifelong Learning Approach	Sebastian Thrun	1996	Springer US
Deep neural network design for radar applications	Gurbuz, Sevgi Zubeyde		Institution of Engineering & Technology
Deep Neural Network Design for Radar Applications	Sevgi Zubeyde Gurbuz	2021	SciTech Publishing
The Informational Complexity of Learning: Perspectives on Neural Networks and Generative Grammar	Partha Niyogi	1998	Springer US
Artificial Neural Network for Drug Design, Delivery and Disposition	Munish Puri; Yashwant Pathak; Vijay Kumar Sutariya; Srinivas Tipparaju and Wilfrido Moreno	2016	Academic Press
Circuit Complexity and Neural Networks	Ian Parberry	1994	MIT Press
Circuit Complexity and Neural Networks	Ian Parberry	1994	MIT Press,
Circuit complexity and neural networks /	Parberry, Ian.	[1994], ©1994.	MIT Press,
Modular learning in neural networks: a modularized approach to neural network classification	Tomas Hrycej	1992	Wiley
Automated Deep Learning Using Neural Network Intelligence: Develop and Design PyTorch and TensorFlow Models Using Python	Ivan Gridin	1st ed.	Apress
Neural network principles /	Harvey, Robert L.	1994.	Prentice Hall,
Gateway to Memory - Introduction to Neural Network Modeling of the Hippocampus and Learning	Gluck	2001	MIT
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Neural Network Design without Learning	E. Dudek-Dyduch; Z. Gomółka	Neural Networks and Soft Computing: Proceedings of the Sixth International Conference on Neural Network and Soft Computing, Zakopane, Poland, June 11-15, 2002	Leszek Rutkowski	2003	Physica-Verlag HD
Estimates of Model Complexity in Neural-Network Learning	Věra Kůrková	Innovations in Neural Information Paradigms and Applications	Monica Bianchini; Marco Maggini; Franco Scarselli	2010	Springer Berlin Heidelberg
Estimates of Data Complexity in Neural-Network Learning	Věra Kůrková	SOFSEM 2007: Theory and Practice of Computer Science: 33nd Conference on Current Trends in Theory and Practice of Computer Science, Harrachov, Czech Republic, January 20-26, 2007, Proceedings	Jan van Leeuwen; Giuseppe F. Italiano; Wiebe van der Hoek; Christoph Meinel; Harald Sack; František Plášil	2007	Springer Berlin Heidelberg
Neural Network and Deep Learning	Shyamasree Ghosh; Rathi Dasgupta	Machine Learning in Biological Sciences: Updates and Future Prospects	Shyamasree Ghosh; Rathi Dasgupta	1st ed. 2022	Springer Nature Singapore
""Neural network and reinforcement learning""		Practical Reinforcement Learning	Farrukh Akhtar	2017	Packt Publishing
Principles of Neural Network Learning	Paul R. Prucnal; Bhavin J. Shastri; Malvin Carl Teich	Neuromorphic Photonics	Paul R. Prucnal; Bhavin J. Shastri	2017	Routledge
Forms of Neural Network Learning	Ryszard Tadeusiewicz; Rituparna Chaki; Nabendu Chaki	Exploring Neural Networks with C#	Ryszard Tadeusiewicz; Rituparna Chaki; Nabendu Chaki	2015	Routledge
12A2 Design of neural network		Principles of artificial neural networks	Daniel Graupe	2007	World Scientific
Neural Network Learning Algorithms	Terrence J. Sejnowski	Neural Computers	Rolf Eckmiller; Christoph v.d. Malsburg	1989	Springer Berlin Heidelberg
Evolutionary Neural Network Learning	Miguel Rocha; Paulo Cortez; José Neves	Progress in Artificial Intelligence: 11th Protuguese Conference on Artificial Intelligence, EPIA 2003, Beja, Portugal, December 4-7, 2003, Proceedings	Fernando Moura Pires; Salvador Abreu	2003	Springer Berlin Heidelberg
Efficient neural network learning	Peter L. Bartlett	Open Problems in Mathematical Systems and Control Theory	Vincent D. Blondel; Eduardo D. Sontag; Mathukumalli Vidyasagar; Jan C. Willems	1999	Springer London
NEURAL NETWORK & REINFORCEMENT LEARNING		Machine Learning Proceedings 1990	Bruce W. Porter and Ray J. Mooney	1990	Morgan Kaufmann
Neural Network Learning Strategy		Computer-Aided Design, Engineering, and Manufacturing: Systems Techniques and Applications, Volume VII, Artificial Inte	Cornelius Leondes, Cornelius T. Leondes	2000	CRC Press
23 Neural Network Learning		Advanced nondestructive evaluation II: proceedings of the International Conference on ANDE 2007, the 2nd International Conference on Advanced Nondestructive Testing	Seung-seok Lee, Joon Hyun Lee, Ik-keun Park, Sung-jin Song, Man-Yong Choi	2008	World Scientific
Learning neural network weights		Hands-On Java Deep Learning for Computer Vision - Implement machine learning and neural network methodologies to perform computer vision-related tasks.	Klevis Ramo	2019	Packt
Neural Network Design Book		MATLAB Deep Learning Toolbox™ User's Guide	The MathWorks, Inc.	2020	The MathWorks, Inc.
Neural-Network-Based Feature Learning: Convolutional Neural Network	Haitao Zhao; Zhihui Lai; Henry Leung; Xianyi Zhang	Feature Learning and Understanding: Algorithms and Applications	Haitao Zhao; Zhihui Lai; Henry Leung; Xianyi Zhang	1st ed. 2020	Springer International Publishing
Neural-Network-Based Feature Learning: Recurrent Neural Network	Haitao Zhao; Zhihui Lai; Henry Leung; Xianyi Zhang	Feature Learning and Understanding: Algorithms and Applications	Haitao Zhao; Zhihui Lai; Henry Leung; Xianyi Zhang	1st ed. 2020	Springer International Publishing
Complexity, curriculum, and the design of learning systems	Alan Ovens; Joy Butler	Routledge Handbook of Physical Education Pedagogies	Catherine D. Ennis; Kathleen Armour; Ang Chen; Alex C. Garn; Eliane Mauerberg-deCastro; Dawn Penney; Stephen J. Silverman; Melinda A. Solmon; Richard Tinning	2016	Routledge
Complexity issues in neural network computations	Michel Cosnard; Pascal Koiran; Hélène Paugam-Moisy	LATIN ' 92: 1st Latin American Symposium on Theoretical Informatics, Sao Paulo, Brazil, April 6-10, 1992. Proceedings	Imre Simon	1992	Springer Berlin Heidelberg
Chapter	Author(s)	Book	Book Authors	Year	Publisher

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