Share

Rethinking Neural Networks

2014-04-08 Psychology
Download Rethinking Neural Networks PDF Online Free

Author :
Release : 2014-04-08
Genre : Psychology
Kind : eBook
Book Rating : 949/5 ( reviews)

GET EBOOK


Book Synopsis Rethinking Neural Networks by : Karl H. Pribram

Download or read book Rethinking Neural Networks written by Karl H. Pribram. This book was released on 2014-04-08. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Rethinking Innateness

1996 Family & Relationships
Download Rethinking Innateness PDF Online Free

Author :
Release : 1996
Genre : Family & Relationships
Kind : eBook
Book Rating : 307/5 ( reviews)

GET EBOOK


Book Synopsis Rethinking Innateness by : Jeffrey L. Elman

Download or read book Rethinking Innateness written by Jeffrey L. Elman. This book was released on 1996. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Rethinking Neural Networks

1993 Neural networks (Neurobiology)
Download Rethinking Neural Networks PDF Online Free

Author :
Release : 1993
Genre : Neural networks (Neurobiology)
Kind : eBook
Book Rating : /5 ( reviews)

GET EBOOK


Book Synopsis Rethinking Neural Networks by :

Download or read book Rethinking Neural Networks written by . This book was released on 1993. Available in PDF, EPUB and Kindle. Book excerpt:

Exercises in Rethinking Innateness

1997-04-15 Computers
Download Exercises in Rethinking Innateness PDF Online Free

Author :
Release : 1997-04-15
Genre : Computers
Kind : eBook
Book Rating : 058/5 ( reviews)

GET EBOOK


Book Synopsis Exercises in Rethinking Innateness by : Kim Plunkett

Download or read book Exercises in Rethinking Innateness written by Kim Plunkett. This book was released on 1997-04-15. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Rethinking Methods to Train Deep Neural Networks

2019
Download Rethinking Methods to Train Deep Neural Networks PDF Online Free

Author :
Release : 2019
Genre :
Kind : eBook
Book Rating : /5 ( reviews)

GET EBOOK


Book Synopsis Rethinking Methods to Train Deep Neural Networks by : Wendy Wei (M. Eng.)

Download or read book Rethinking Methods to Train Deep Neural Networks written by Wendy Wei (M. Eng.). This book was released on 2019. Available in PDF, EPUB and Kindle. Book excerpt: 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.

You may also like...