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Statistical Mechanics of Learning

2001-03-29 Computers
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Release : 2001-03-29
Genre : Computers
Kind : eBook
Book Rating : 796/5 ( reviews)

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Book Synopsis Statistical Mechanics of Learning by : A. Engel

Download or read book Statistical Mechanics of Learning written by A. Engel. This book was released on 2001-03-29. Available in PDF, EPUB and Kindle. Book excerpt: Learning is one of the things that humans do naturally, and it has always been a challenge for us to understand the process. Nowadays this challenge has another dimension as we try to build machines that are able to learn and to undertake tasks such as datamining, image processing and pattern recognition. We can formulate a simple framework, artificial neural networks, in which learning from examples may be described and understood. The contribution to this subject made over the last decade by researchers applying the techniques of statistical mechanics is the subject of this book. The authors provide a coherent account of various important concepts and techniques that are currently only found scattered in papers, supplement this with background material in mathematics and physics and include many examples and exercises to make a book that can be used with courses, or for self-teaching, or as a handy reference.

Statistical Mechanics of Learning

2001-03-29 Computers
Download Statistical Mechanics of Learning PDF Online Free

Author :
Release : 2001-03-29
Genre : Computers
Kind : eBook
Book Rating : 072/5 ( reviews)

GET EBOOK


Book Synopsis Statistical Mechanics of Learning by : A. Engel

Download or read book Statistical Mechanics of Learning written by A. Engel. This book was released on 2001-03-29. Available in PDF, EPUB and Kindle. Book excerpt: The effort to build machines that are able to learn and undertake tasks such as datamining, image processing and pattern recognition has led to the development of artificial neural networks in which learning from examples may be described and understood. The contribution to this subject made over the past decade by researchers applying the techniques of statistical mechanics is the subject of this book. The authors provide a coherent account of various important concepts and techniques that are currently only found scattered in papers, supplement this with background material in mathematics and physics, and include many examples and exercises.

Statistical Mechanics of Neural Networks

2022-01-04 Science
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Release : 2022-01-04
Genre : Science
Kind : eBook
Book Rating : 708/5 ( reviews)

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Book Synopsis Statistical Mechanics of Neural Networks by : Haiping Huang

Download or read book Statistical Mechanics of Neural Networks written by Haiping Huang. This book was released on 2022-01-04. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights a comprehensive introduction to the fundamental statistical mechanics underneath the inner workings of neural networks. The book discusses in details important concepts and techniques including the cavity method, the mean-field theory, replica techniques, the Nishimori condition, variational methods, the dynamical mean-field theory, unsupervised learning, associative memory models, perceptron models, the chaos theory of recurrent neural networks, and eigen-spectrums of neural networks, walking new learners through the theories and must-have skillsets to understand and use neural networks. The book focuses on quantitative frameworks of neural network models where the underlying mechanisms can be precisely isolated by physics of mathematical beauty and theoretical predictions. It is a good reference for students, researchers, and practitioners in the area of neural networks.

Statistical Mechanics

2017-02-21 Science
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Release : 2017-02-21
Genre : Science
Kind : eBook
Book Rating : 881/5 ( reviews)

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Book Synopsis Statistical Mechanics by : R.K. Pathria

Download or read book Statistical Mechanics written by R.K. Pathria. This book was released on 2017-02-21. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Mechanics discusses the fundamental concepts involved in understanding the physical properties of matter in bulk on the basis of the dynamical behavior of its microscopic constituents. The book emphasizes the equilibrium states of physical systems. The text first details the statistical basis of thermodynamics, and then proceeds to discussing the elements of ensemble theory. The next two chapters cover the canonical and grand canonical ensemble. Chapter 5 deals with the formulation of quantum statistics, while Chapter 6 talks about the theory of simple gases. Chapters 7 and 8 examine the ideal Bose and Fermi systems. In the next three chapters, the book covers the statistical mechanics of interacting systems, which includes the method of cluster expansions, pseudopotentials, and quantized fields. Chapter 12 discusses the theory of phase transitions, while Chapter 13 discusses fluctuations. The book will be of great use to researchers and practitioners from wide array of disciplines, such as physics, chemistry, and engineering.

Introduction to Statistical Physics

2001-09-20 Mathematics
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Release : 2001-09-20
Genre : Mathematics
Kind : eBook
Book Rating : 763/5 ( reviews)

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Book Synopsis Introduction to Statistical Physics by : Kerson Huang

Download or read book Introduction to Statistical Physics written by Kerson Huang. This book was released on 2001-09-20. Available in PDF, EPUB and Kindle. Book excerpt: Statistical physics is a core component of most undergraduate (and some post-graduate) physics degree courses. It is primarily concerned with the behavior of matter in bulk-from boiling water to the superconductivity of metals. Ultimately, it seeks to uncover the laws governing random processes, such as the snow on your TV screen. This essential new textbook guides the reader quickly and critically through a statistical view of the physical world, including a wide range of physical applications to illustrate the methodology. It moves from basic examples to more advanced topics, such as broken symmetry and the Bose-Einstein equation. To accompany the text, the author, a renowned expert in the field, has written a Solutions Manual/Instructor's Guide, available free of charge to lecturers who adopt this book for their courses. Introduction to Statistical Physics will appeal to students and researchers in physics, applied mathematics and statistics.

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