An edition of Unsupervised learning (1999)

Unsupervised Learning

Foundations of Neural Computation (Computational Neuroscience)

1st edition
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Last edited by MARC Bot
July 17, 2024 | History
An edition of Unsupervised learning (1999)

Unsupervised Learning

Foundations of Neural Computation (Computational Neuroscience)

1st edition
  • 3.0 (1 rating)
  • 3 Want to read
  • 1 Have read

This volume, on unsupervised learning algorithms, focuses on neural network learning algorithms that do not require an explicit teacher. The goal of unsupervised learning is to extract an efficient internal representation of the statistical structure implicit in the inputs. These algorithms provide insights into the development of the cerebral cortex and implicit learning in humans.

They are also of interest to engineers working in areas such as computer vision and speech recognition who seek efficient representations of raw input data.

Publish Date
Publisher
The MIT Press
Language
English
Pages
350

Buy this book

Edition Availability
Cover of: Unsupervised Learning
Unsupervised Learning: Foundations of Neural Computation
2016, MIT Press
in English
Cover of: Unsupervised Learning
Unsupervised Learning: Foundations of Neural Computation
1999, MIT Press
in English
Cover of: Unsupervised Learning
Unsupervised Learning: Foundations of Neural Computation (Computational Neuroscience)
June 11, 1999, The MIT Press
Paperback in English - 1st edition
Cover of: Unsupervised learning
Unsupervised learning: foundations of neural computation
1999, MIT Press, A Bradford Book
in English
Cover of: Unsupervised Learning
Unsupervised Learning: Foundations of Neural Computation
1999, MIT Press
in English

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Book Details


First Sentence

"What use can the brain make of the massive flow of sensory information that occurs without any associated rewards or punishments?"

The Physical Object

Format
Paperback
Number of pages
350
Dimensions
9.2 x 6.1 x 0.8 inches
Weight
1.3 pounds

Edition Identifiers

Open Library
OL9512063M
ISBN 10
026258168X
ISBN 13
9780262581684
LibraryThing
379324
Goodreads
4698043

Work Identifiers

Work ID
OL19237807W

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July 17, 2024 Edited by MARC Bot import existing book
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