An edition of Unsupervised learning
(1999)
Unsupervised learning
foundations of neural computation
by Terrence J. Sejnowski
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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.
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Subjects
Physiological aspects, Neural networks (Computer science), Computer simulation, Learning, Neural computers, Learning, physiological aspects, Neural networks (neurobiology), Neural circuitry, Nerve Net, Computer Neural Networks, Neural networks, MEDICAL, Neuroscience, PSYCHOLOGY, Neuropsychology| Edition | Availability |
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1
Unsupervised Learning: Foundations of Neural Computation
2016, MIT Press
in English
0262338556 9780262338554
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2
Unsupervised learning: foundations of neural computation
1999, MIT Press, A Bradford Book
in English
026258168X 9780262581684
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3
Unsupervised Learning: Foundations of Neural Computation (Computational Neuroscience)
June 11, 1999, The MIT Press
Paperback
in English
- 1st edition
026258168X 9780262581684
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4
Unsupervised Learning: Foundations of Neural Computation
1999, MIT Press
in English
0585358958 9780585358956
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zzzz
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5
Unsupervised Learning: Foundations of Neural Computation
1999, MIT Press
in English
0262288036 9780262288033
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Book Details
Edition Notes
Includes bibliographical references and index.
"A Bradford book."
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| July 17, 2024 | Edited by MARC Bot | import existing book |
| January 7, 2023 | Edited by MARC Bot | import existing book |
| January 6, 2023 | Edited by MARC Bot | import existing book |
| August 4, 2020 | Edited by ImportBot | import existing book |
| March 12, 2019 | Created by MARC Bot | import existing book |