Unsupervised learning - Info and Reading Options
foundations of neural computation
By Terrence J. Sejnowski
"Unsupervised learning" was published by MIT Press in 1999 - Cambridge, Mass, it has 398 pages and the language of the book is English.
“Unsupervised learning” Metadata:
- Title: Unsupervised learning
- Author: Terrence J. Sejnowski
- Language: English
- Number of Pages: 398
- Publisher: MIT Press
- Publish Date: 1999
- Publish Location: Cambridge, Mass
“Unsupervised learning” Subjects and Themes:
- 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 Specifications:
- Pagination: xvi, 398 p. :
Edition Identifiers:
- The Open Library ID: OL355018M - OL19237807W
- Online Computer Library Center (OCLC) ID: 38550461 - 47008258
- Library of Congress Control Number (LCCN): 98014784
- ISBN-10: 026258168X
- All ISBNs: 026258168X
AI-generated Review of “Unsupervised learning”:
"Unsupervised learning" Description:
The Open Library:
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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