Neural Networks Tricks Of The Trade

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Neural Networks: Tricks of the Trade

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Author by : Genevieve B. Orr
Languange Used : English, France, Spanish, Italia and chinese
Page : 432
Isbn : 3540494308
Identifier : 9783540494300
Release : 2003-07-31
Publisher by : Springer
Category : Computers
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Description : Read Now Neural Networks Tricks Of The Trade by Genevieve B. Orr and you can download with pub, pdf, txt, doc, and more file format with free account. it is our belief that researchers and practitioners acquire, through experience and word-of-mouth, techniques and heuristics that help them successfully apply neural networks to di cult real world problems. often these \tricks" are theo- tically well motivated. sometimes they are the result of trial and error. however, their most common link is that they are usually hidden in people’s heads or in the back pages of space-constrained conference papers. as a result newcomers to the eld waste much time wondering why their networks train so slowly and perform so poorly. this book is an outgrowth of a 1996 nips workshop called tricks of the trade whose goal was to begin the process of gathering and documenting these tricks. the interest that the workshop generated motivated us to expand our collection and compile it into this book. although we have no doubt that there are many tricks we have missed, we hope that what we have included will prove to be useful, particularly to those who are relatively new to the eld. each chapter contains one or more tricks presented by a given author (or authors). we have attempted to group related chapters into sections, though we recognize that the di erent sections are far from disjoint. some of the chapters (e.g., 1, 13, 17) contain entire systems of tricks that are far more general than the category they have been placed in.

Neural Networks: Tricks of the Trade

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Author by : Grégoire Montavon
Languange Used : English, France, Spanish, Italia and chinese
Page : 769
Isbn : 3642352898
Identifier : 9783642352898
Release : 2012-11-14
Publisher by : Springer
Category : Computers
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Description : Read Now Neural Networks Tricks Of The Trade by Grégoire Montavon and you can download with pub, pdf, txt, doc, and more file format with free account. the twenty last years have been marked by an increase in available data and computing power. in parallel to this trend, the focus of neural network research and the practice of training neural networks has undergone a number of important changes, for example, use of deep learning machines. the second edition of the book augments the first edition with more tricks, which have resulted from 14 years of theory and experimentation by some of the world's most prominent neural network researchers. these tricks can make a substantial difference (in terms of speed, ease of implementation, and accuracy) when it comes to putting algorithms to work on real problems.

COMPOSING FISHER KERNELS FROM DEEP NEURAL MODELS A Practitioner's Approach

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Author by : TAYYABA. AHMED AZIM (SARAH.)
Languange Used : English, France, Spanish, Italia and chinese
Page : 59
Isbn : 3319985248
Identifier : 9783319985244
Release : 2018-01-01
Publisher by : Springer
Category : Artificial intelligence
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Description : Read Now Composing Fisher Kernels From Deep Neural Models by TAYYABA. AHMED AZIM (SARAH.) and you can download with pub, pdf, txt, doc, and more file format with free account.

An Introduction to Neural Networks

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Author by : Kevin Gurney
Languange Used : English, France, Spanish, Italia and chinese
Page : 234
Isbn : 0203451511
Identifier : 9780203451519
Release : 2003-12-16
Publisher by : CRC Press
Category : Computers
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Description : Read Now An Introduction To Neural Networks by Kevin Gurney and you can download with pub, pdf, txt, doc, and more file format with free account. though mathematical ideas underpin the study of neural networks, the author presents the fundamentals without the full mathematical apparatus. all aspects of the field are tackled, including artificial neurons as models of their real counterparts; the geometry of network action in pattern space; gradient descent methods, including back-propagation; associative memory and hopfield nets; and self-organization and feature maps. the traditionally difficult topic of adaptive resonance theory is clarified within a hierarchical description of its operation. the book also includes several real-world examples to provide a concrete focus. this should enhance its appeal to those involved in the design, construction and management of networks in commercial environments and who wish to improve their understanding of network simulator packages. as a comprehensive and highly accessible introduction to one of the most important topics in cognitive and computer science, this volume should interest a wide range of readers, both students and professionals, in cognitive science, psychology, computer science and electrical engineering.

Connectionism A Hands-on Approach

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Author by : Michael R. W. Dawson
Languange Used : English, France, Spanish, Italia and chinese
Page : 208
Isbn : 1405143894
Identifier : 9781405143899
Release : 2008-04-15
Publisher by : John Wiley & Sons
Category : Psychology
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Description : Read Now Connectionism by Michael R. W. Dawson and you can download with pub, pdf, txt, doc, and more file format with free account. connectionism is a “hands on” introduction toconnectionist modeling through practical exercises in differenttypes of connectionist architectures. explores three different types of connectionist architectures– distributed associative memory, perceptron, and multilayerperceptron provides a brief overview of each architecture, a detailedintroduction on how to use a program to explore this network, and aseries of practical exercises that are designed to highlight theadvantages, and disadvantages, of each accompanied by a website athttp://www.bcp.psych.ualberta.ca/~mike/book3/ that includespractice exercises and software, as well as the files and blankexercise sheets required for performing the exercises designed to be used as a stand-alone volume or alongsideminds and machines: connectionism and psychological modeling(by michael r.w. dawson, blackwell 2004)

Intelligent Optimisation Techniques Genetic Algorithms, Tabu Search, Simulated Annealing and Neural Networks

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Author by : Duc Pham
Languange Used : English, France, Spanish, Italia and chinese
Page : 302
Isbn : 1447107217
Identifier : 9781447107217
Release : 2012-12-06
Publisher by : Springer Science & Business Media
Category : Computers
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Description : Read Now Intelligent Optimisation Techniques by Duc Pham and you can download with pub, pdf, txt, doc, and more file format with free account. this work gives a concise introduction to four important optimization techniques, presenting a range of applications drawn from electrical, manufacturing, mechanical, and systems engineering-such as the design of microstrip antennas, digital fir filters, and fuzzy logic controllers. the book also contains the c programs used to implement the main techniques for those wishing to experiment with them.

Logical and Relational Learning

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Author by : Luc De Raedt
Languange Used : English, France, Spanish, Italia and chinese
Page : 387
Isbn : 3540688560
Identifier : 9783540688563
Release : 2008-09-27
Publisher by : Springer Science & Business Media
Category : Computers
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Description : Read Now Logical And Relational Learning by Luc De Raedt and you can download with pub, pdf, txt, doc, and more file format with free account. this first textbook on multi-relational data mining and inductive logic programming provides a complete overview of the field. it is self-contained and easily accessible for graduate students and practitioners of data mining and machine learning.

Learning to Learn

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Author by : Sebastian Thrun
Languange Used : English, France, Spanish, Italia and chinese
Page : 354
Isbn : 1461555299
Identifier : 9781461555292
Release : 2012-12-06
Publisher by : Springer Science & Business Media
Category : Computers
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Description : Read Now Learning To Learn by Sebastian Thrun and you can download with pub, pdf, txt, doc, and more file format with free account. over the past three decades or so, research on machine learning and data mining has led to a wide variety of algorithms that learn general functions from experience. as machine learning is maturing, it has begun to make the successful transition from academic research to various practical applications. generic techniques such as decision trees and artificial neural networks, for example, are now being used in various commercial and industrial applications. learning to learn is an exciting new research direction within machine learning. similar to traditional machine-learning algorithms, the methods described in learning to learn induce general functions from experience. however, the book investigates algorithms that can change the way they generalize, i.e., practice the task of learning itself, and improve on it. to illustrate the utility of learning to learn, it is worthwhile comparing machine learning with human learning. humans encounter a continual stream of learning tasks. they do not just learn concepts or motor skills, they also learn bias, i.e., they learn how to generalize. as a result, humans are often able to generalize correctly from extremely few examples - often just a single example suffices to teach us a new thing. a deeper understanding of computer programs that improve their ability to learn can have a large practical impact on the field of machine learning and beyond. in recent years, the field has made significant progress towards a theory of learning to learn along with practical new algorithms, some of which led to impressive results in real-world applications. learning to learn provides a survey of some of the most exciting new research approaches, written by leading researchers in the field. its objective is to investigate the utility and feasibility of computer programs that can learn how to learn, both from a practical and a theoretical point of view.

Community Informatics Design Applied to Digital Social Systems Communicational Foundations, Theories and Methodologies

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Author by : Pierre-Léonard Harvey
Languange Used : English, France, Spanish, Italia and chinese
Page : 459
Isbn : 3319653733
Identifier : 9783319653730
Release : 2017-12-05
Publisher by : Springer
Category : Computers
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Description : Read Now Community Informatics Design Applied To Digital Social Systems by Pierre-Léonard Harvey and you can download with pub, pdf, txt, doc, and more file format with free account. this book introduces a digital social system praxis framework (dsspf) integrating computational media, evolutionary systems thinking and design thinking approaches to e-transformation practice, also called community informatics design (cid). the dsspf framework is intended to create communication spaces dedicated to knowledge production and sharing for social and organizational change. it allows social systems researchers and practitioners to recognize their synergistic roles in the praxis process to shape their future through social innovation projects. this transdisciplinary text provides potential students and practitioners fundamental concepts and tools for such design. it offers resources from the pragmatic and systemic philosophy of science for the co-construction of social architectures and infrastructures, and multi-aspectual design methodologies by which government, organizations and civil society can learn to ethically co-design common ground. this approach provides complementary and common patterns from known methods, models, and theories of social systems interventions that could support a generic framing of large scale sociotechnical systems: digital social innovation ecosystem, living labs, fab labs, enterprise collaborative networks. there will be a particular focus on understanding and addressing the dimensions that make people from different communities of practice able to communicate and collaborate through multiple digital media, design platforms, worldviews and modeling approaches.

Artificial Intelligence: Its Scope and Limits

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Author by : J.H. Fetzer
Languange Used : English, France, Spanish, Italia and chinese
Page : 340
Isbn : 940091900X
Identifier : 9789400919006
Release : 2012-12-06
Publisher by : Springer Science & Business Media
Category : Computers
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Description : Read Now Artificial Intelligence Its Scope And Limits by J.H. Fetzer and you can download with pub, pdf, txt, doc, and more file format with free account. this series will include monographs and collections of studies devoted to the investigation and exploration of knowledge, information, and data processing systems of all kinds, no matter whether human, (other) animal, or machine. its scope is intended to span the full range of interests from classical problems in the philosophy of mind and philosophical psycholo gy through issues in cognitive psychology and sociobiology (concerning the mental capabilities of other species) to ideas related to artificial in telligence and to computer science. while primary emphasis will be placed upon theoretical, conceptual, and epistemological aspects of these prob lems and domains, empirical, experimental, and methodological studies will also appear from time to time. the perspective that prevails in artificial intelligence today suggests that the theory of computability defines the boundaries of the nature of thought, precisely because all thinking is computational. this paradigm draws its inspiration from the symbol-system hypothesis of newell and simon and finds its culmination in the computational conception of lan guage and mentality. the "standard conception" represented by these views is subjected to a thorough and sustained critique in the pages of this book. employing a distinction between systems for which signs are signif icant for the users of a system and others for which signs are significant for use by a system, i have sought to define the boundaries of what ai, in principle, may be expected to achieve.

Neural Networks and Learning Machines

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Author by : Simon O. Haykin
Languange Used : English, France, Spanish, Italia and chinese
Page : 936
Isbn : 0133002551
Identifier : 9780133002553
Release : 2011-11-21
Publisher by : Pearson Higher Ed
Category : Technology & Engineering
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Description : Read Now Neural Networks And Learning Machines by Simon O. Haykin and you can download with pub, pdf, txt, doc, and more file format with free account. this is the ebook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. for graduate-level neural network courses offered in the departments of computer engineering, electrical engineering, and computer science. neural networks and learning machines, third edition is renowned for its thoroughness and readability. this well-organized and completely up-to-date text remains the most comprehensive treatment of neural networks from an engineering perspective. this is ideal for professional engineers and research scientists. matlab codes used for the computer experiments in the text are available for download at: http://www.pearsonhighered.com/haykin/ refocused, revised and renamed to reflect the duality of neural networks and learning machines, this edition recognizes that the subject matter is richer when these topics are studied together. ideas drawn from neural networks and machine learning are hybridized to perform improved learning tasks beyond the capability of either independently.

Human Re-Identification

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Author by : Ziyan Wu
Languange Used : English, France, Spanish, Italia and chinese
Page : 104
Isbn : 3319409913
Identifier : 9783319409917
Release : 2016-09-08
Publisher by : Springer
Category : Computers
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Description : Read Now Human Re Identification by Ziyan Wu and you can download with pub, pdf, txt, doc, and more file format with free account. this book covers aspects of human re-identification problems related to computer vision and machine learning. working from a practical perspective, it introduces novel algorithms and designs for human re-identification that bridge the gap between research and reality. the primary focus is on building a robust, reliable, distributed and scalable smart surveillance system that can be deployed in real-world scenarios. this book also includes detailed discussions on pedestrian candidates detection, discriminative feature extraction and selection, dimension reduction, distance/metric learning, and decision/ranking enhancement.this book is intended for professionals and researchers working in computer vision and machine learning. advanced-level students of computer science will also find the content valuable.