Unsupervised learning
foundations of neural computation
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Author
Contributions
- Hinton, Geoffrey E. - Contributor
- Sejnowski, Terrence J. - Contributor
Publication
1999 - MIT Press, Cambridge, Mass, Massachusetts
Language
English
Description
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.
Subjects
Topics
Series Statement
- Computational neuroscience
Other Editions
- Unsupervised learning: foundations of neural computation
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