The Principles of Deep Learning Theory: An Effective Theory Approach to Understanding Neural Networks

Daniel A. Roberts

ISBN 10: 1316519333 ISBN 13: 9781316519332

Editorial: Cambridge University Press, 2022

Idioma: Ingl�s

Impresi�n bajo demanda

Condici�n: Nuevo Encuadernaci�n de tapa dura

Guardar para m�s tarde

Vendido por THE SAINT BOOKSTORE, Southport, Reino Unido

Vendedor de AbeBooks desde 14 de junio de 2006

Calificaci�n del vendedor: 5 de 5 estrellas

Ver los art�culos de este vendedor

Ver todos los ejemplares de este libro

Nuevos - Encuadernaci�n de tapa dura

Condici�n: Nuevo

Precio: EUR 85,94 Convertir moneda

EUR 19,96 gastos de env�o desde Reino Unido a Estados Unidos de America Destinos, gastos y plazos de env�o

Cantidad disponible: M�s de 20 disponibles

A�adir al carrito

Guardar para m�s tarde

Descripci�n

This item is printed on demand. New copy - Usually dispatched within 5-9 working days 1060.

N� de ref. del art�culo C9781316519332

Contactar al vendedor

Denunciar este art�culo

Detalles bibliogr�ficos

T�tulo

The Principles of Deep Learning Theory: An Effective Theory Approach to Understanding Neural Networks

Editor

Cambridge University Press

Fecha de publicaci�n

2022

Idioma

Ingl�s

ISBN 10

1316519333

ISBN 13

9781316519332

Encuadernaci�n

Hardback

Estado

New

Cat�logos de vendedores

Acerca de

Sinopsis

This textbook establishes a theoretical framework for understanding deep learning models of practical relevance. With an approach that borrows from theoretical physics, Roberts and Yaida provide clear and pedagogical explanations of how realistic deep neural networks actually work. To make results from the theoretical forefront accessible, the authors eschew the subject's traditional emphasis on intimidating formality without sacrificing accuracy. Straightforward and approachable, this volume balances detailed first-principle derivations of novel results with insight and intuition for theorists and practitioners alike. This self-contained textbook is ideal for students and researchers interested in artificial intelligence with minimal prerequisites of linear algebra, calculus, and informal probability theory, and it can easily fill a semester-long course on deep learning theory. For the first time, the exciting practical advances in modern artificial intelligence capabilities can be matched with a set of effective principles, providing a timeless blueprint for theoretical research in deep learning.

Acerca de los autores

Daniel A. Roberts was cofounder and CTO of Diffeo, an AI company acquired by Salesforce; a research scientist at Facebook AI Research; and a member of the School of Natural Sciences at the Institute for Advanced Study in Princeton, NJ. He was a Hertz Fellow, earning a PhD from MIT in theoretical physics, and was also a Marshall Scholar at Cambridge and Oxford Universities.

Sho Yaida is a research scientist at Meta AI. Prior to joining Meta AI, he obtained his PhD in physics at Stanford University and held postdoctoral positions at MIT and at Duke University. At Meta AI, he uses tools from theoretical physics to understand neural networks, the topic of this book.

Boris Hanin is an Assistant Professor at Princeton University in the Operations Research and Financial Engineering Department. Prior to joining Princeton in 2020, Boris was an Assistant Professor at Texas A&M in the Math Department and an NSF postdoc at MIT. He has taught graduate courses on the theory and practice of deep learning at both Texas A&M and Princeton.

"Sobre este t�tulo" puede pertenecer a otra edici�n de este libro.

Descripci�n de la librer�a

The Saint Bookstore has a range of over 1 million titles available.

Ver la p�gina web de la librer�a

Informaci�n empresarial del vendedor

SB ONLINE LTD
50 Devonshire Road, Southport, PR9 7BZ, United Kingdom

Condiciones de venta y env�o

Condiciones de venta

Please order through the Abebooks checkout. We only take orders through Abebooks - We don't take direct orders by email or phone.

Refunds or Returns: A full refund of the purchase price will be given if returned within 30 days in undamaged condition.

As a seller on abebooks we adhere to the terms explained at http://www.abebooks.co.uk/docs/HelpCentral/buyerIndex.shtml - if you require further assistance please email us at orders@thesaintbookstore.co.uk

Derecho a cancelaci�n

Condiciones de env�o

Most orders usually ship within 1-3 business days, but some can take up to 7 days.

Tarifas de env�o de Reino Unido a Estados Unidos de America

Tarifas de env�o de Reino Unido a Estados Unidos de America
Cantidad del pedido	De 7 a 28 d�as h�biles	De 7 a 28 d�as h�biles
Primer art�culo	EUR 19.96	EUR 19.96

Los plazos de entrega los establecen los vendedores y var�an seg�n el transportista y la ubicaci�n. Los pedidos que pasan por la aduana pueden sufrir retrasos y los compradores son responsables de los aranceles o tarifas asociadas. Los vendedores pueden ponerse en contacto con usted en relaci�n con cargos adicionales para cubrir cualquier aumento en los costes de env�o de los art�culos.