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Deep Learning (Adaptive Computation and Machine Learning Ser... by Bach, Francis

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Item specifics

Condition
Very Good: A book that has been read and does not look new, but is in excellent condition. No ...
Title
Penguin Random House Deep Learning (Adaptive Computation and M...
Book Title
Penguin Random House Deep Learning (Adaptive Computation and M...
ISBN
0262035618
EAN
9780262035613
Binding
Hardback
Date of Publication
2016-11-18
Release Title
Penguin Random House Deep Learning (Adaptive Computation and M...
Artist
Bach, Francis
Brand
N/A
Colour
N/A
Publication Year
2016
Series
Adaptive Computation and Machine Learning Series
Type
Textbook
Format
Hardcover
Language
English
Publication Name
Deep Learning
Item Height
229 mm
Author
Aaron Courville, Ian Goodfellow, Yoshua Bengio
Publisher
MIT Press LTD
Subject
Computer Science
Item Width
178 mm
Number of Pages
800 Pages

About this product

Product Information

An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. Written by three experts in the field, Deep Learning is the only comprehensive book on the subject. -Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceXDeep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

Product Identifiers

Publisher
MIT Press LTD
ISBN-13
9780262035613
eBay Product ID (ePID)
230033967

Product Key Features

Number of Pages
800 Pages
Publication Name
Deep Learning
Language
English
Subject
Computer Science
Publication Year
2016
Type
Textbook
Author
Aaron Courville, Ian Goodfellow, Yoshua Bengio
Series
Adaptive Computation and Machine Learning Series
Format
Hardcover

Dimensions

Item Height
229 mm
Item Width
178 mm

Additional Product Features

Country/Region of Manufacture
United States
Title_Author
Aaron Courville, Ian Goodfellow, Yoshua Bengio

Item description from the seller

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I certify that all my selling activities will comply with all EU laws and regulations.
VAT number: DE 281042328, EL 996857788, ES N8267548I, FR 27823676960, GB 922696893, IT 00185819992
CRN: 06437594
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    Amazing book and quality. Well packaged, every page is clear and compact! Highly recommend!!

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