Rethinking Neural Networks
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Author | : Karl H. Pribram |
Publisher | : Psychology Press |
Total Pages | : 566 |
Release | : 2014-04-08 |
Genre | : Psychology |
ISBN | : 1317780949 |
Download Rethinking Neural Networks Book in PDF, Epub and Kindle
The result of the first Appalachian Conference on neurodynamics, this volume focuses on processing in biological neural networks. How do brain processes become organized during decision making? That is, what are the neural antecedents that determine which course of action is to be pursued? Half of the contributions deal with modelling synapto-dendritic and neural ultrastructural processes; the remainder, with laboratory research findings, often cast in terms of the models. The interchanges at the conference and the ensuing publication also provide a foundation for further meetings. These will address how processes in different brain systems, coactive with the neural residues of experience and with sensory input, determine decisions.
Author | : |
Publisher | : |
Total Pages | : 545 |
Release | : 1993 |
Genre | : Neural networks (Neurobiology) |
ISBN | : |
Download Rethinking Neural Networks Book in PDF, Epub and Kindle
Author | : Wendy Wei (M. Eng.) |
Publisher | : |
Total Pages | : 30 |
Release | : 2019 |
Genre | : |
ISBN | : |
Download Rethinking Methods to Train Deep Neural Networks Book in PDF, Epub and Kindle
Deep neural networks are known to be highly non-convex. Many of the methods used in deep learning which are informed by convex optimization work surprisingly well. The training dynamics of optimization methods such as momentum suggest that training occurs in distinct regimes, attributed to learning rate. In the low learning rate regime, many convex intuitions hold, and the recommended methods are able to reach a good solution. In the high learning rate regime, the training behavior is not convex-like, but training longer in this period achieves better generalization. This thesis focuses on rethinking deep network training from the perspective of these phases in training. Empirical results suggest that each training regime, although distinct, work together to produce high performance on deep learning tasks. Moreover, we re-examine popular learning rate schedules and find that the paradigm of high and low learning rate regimes helps to explain their advantages.
Author | : Daniel A. Roberts |
Publisher | : Cambridge University Press |
Total Pages | : 473 |
Release | : 2022-05-26 |
Genre | : Computers |
ISBN | : 1316519333 |
Download The Principles of Deep Learning Theory Book in PDF, Epub and Kindle
This volume develops an effective theory approach to understanding deep neural networks of practical relevance.
Author | : Ashkan Khakzar |
Publisher | : |
Total Pages | : 0 |
Release | : 2023 |
Genre | : |
ISBN | : |
Download Rethinking Feature Attribution for Neural Network Explanation Book in PDF, Epub and Kindle
Author | : Kim Plunkett |
Publisher | : MIT Press |
Total Pages | : 340 |
Release | : 1997-04-15 |
Genre | : Computers |
ISBN | : 9780262661058 |
Download Exercises in Rethinking Innateness Book in PDF, Epub and Kindle
This book is the companion volume to Rethinking Innateness: A Connectionist Perspective on Development (The MIT Press, 1996), which proposed a new theoretical framework to answer the question "What does it mean to say that a behavior is innate?" The new work provides concrete illustrations—in the form of computer simulations—of properties of connectionist models that are particularly relevant to cognitive development. This enables the reader to pursue in depth some of the practical and empirical issues raised in the first book. The authors' larger goal is to demonstrate the usefulness of neural network modeling as a research methodology. The book comes with a complete software package, including demonstration projects, for running neural network simulations on both Macintosh and Windows 95. It also contains a series of exercises in the use of the neural network simulator provided with the book. The software is also available to run on a variety of UNIX platforms.
Author | : Kim Plunkett |
Publisher | : MIT Press |
Total Pages | : 340 |
Release | : 1997-04-15 |
Genre | : Computers |
ISBN | : 9780262661058 |
Download Exercises in Rethinking Innateness Book in PDF, Epub and Kindle
This book is the companion volume to Rethinking Innateness: A Connectionist Perspective on Development (The MIT Press, 1996), which proposed a new theoretical framework to answer the question "What does it mean to say that a behavior is innate?" The new work provides concrete illustrations—in the form of computer simulations—of properties of connectionist models that are particularly relevant to cognitive development. This enables the reader to pursue in depth some of the practical and empirical issues raised in the first book. The authors' larger goal is to demonstrate the usefulness of neural network modeling as a research methodology. The book comes with a complete software package, including demonstration projects, for running neural network simulations on both Macintosh and Windows 95. It also contains a series of exercises in the use of the neural network simulator provided with the book. The software is also available to run on a variety of UNIX platforms.
Author | : Teddy Mantoro |
Publisher | : Springer Nature |
Total Pages | : 724 |
Release | : 2021-12-04 |
Genre | : Computers |
ISBN | : 3030922383 |
Download Neural Information Processing Book in PDF, Epub and Kindle
The four-volume proceedings LNCS 13108, 13109, 13110, and 13111 constitutes the proceedings of the 28th International Conference on Neural Information Processing, ICONIP 2021, which was held during December 8-12, 2021. The conference was planned to take place in Bali, Indonesia but changed to an online format due to the COVID-19 pandemic. The total of 226 full papers presented in these proceedings was carefully reviewed and selected from 1093 submissions. The papers were organized in topical sections as follows: Part I: Theory and algorithms; Part II: Theory and algorithms; human centred computing; AI and cybersecurity; Part III: Cognitive neurosciences; reliable, robust, and secure machine learning algorithms; theory and applications of natural computing paradigms; advances in deep and shallow machine learning algorithms for biomedical data and imaging; applications; Part IV: Applications.
Author | : Carsten Wehn |
Publisher | : Academic Press |
Total Pages | : 657 |
Release | : 2012-12-17 |
Genre | : Business & Economics |
ISBN | : 0124158889 |
Download Rethinking Valuation and Pricing Models Book in PDF, Epub and Kindle
It is widely acknowledged that many financial modelling techniques failed during the financial crisis, and in our post-crisis environment many techniques are being reconsidered. This single volume provides a guide to lessons learned for practitioners and a reference for academics. Including reviews of traditional approaches, real examples, and case studies, contributors consider portfolio theory; methods for valuing equities and equity derivatives, interest rate derivatives, and hybrid products; and techniques for calculating risks and implementing investment strategies. Describing new approaches without losing sight of their classical antecedents, this collection of original articles presents a timely perspective on our post-crisis paradigm. Highlights pre-crisis best classical practices, identifies post-crisis key issues, and examines emerging approaches to solving those issues Singles out key factors one must consider when valuing or calculating risks in the post-crisis environment Presents material in a homogenous, practical, clear, and not overly technical manner
Author | : Jeffrey L. Elman |
Publisher | : MIT Press |
Total Pages | : 484 |
Release | : 1996 |
Genre | : Family & Relationships |
ISBN | : 9780262550307 |
Download Rethinking Innateness Book in PDF, Epub and Kindle
Rethinking Innateness asks the question, "What does it really mean to say that a behavior is innate?" The authors describe a new framework in which interactions, occurring at all levels, give rise to emergent forms and behaviors. These outcomes often may be highly constrained and universal, yet are not themselves directly contained in the genes in any domain-specific way. One of the key contributions of Rethinking Innateness is a taxonomy of ways in which a behavior can be innate. These include constraints at the level of representation, architecture, and timing; typically, behaviors arise through the interaction of constraints at several of these levels.The ideas are explored through dynamic models inspired by a new kind of "developmental connectionism," a marriage of connectionist models and developmental neurobiology, forming a new theoretical framework for the study of behavioral development. While relying heavily on the conceptual and computational tools provided by connectionism, Rethinking Innateness also identifies ways in which these tools need to be enriched by closer attention to biology.