Research Catalog

Unsupervised learning : foundations of neural computation / edited by Geoffrey Hinton and Terrence J. Sejnowski.

Title
Unsupervised learning : foundations of neural computation / edited by Geoffrey Hinton and Terrence J. Sejnowski.

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Details

Additional Authors
  • Hinton, Geoffrey E.
  • Sejnowski, Terrence J. (Terrence Joseph)
Description
xvi, 398 p. : ill.; 23 cm.
Summary
  • 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.
  • 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.
Series Statement
Computational neuroscience
Subjects
ISBN
026258168X (pbk. : alk. paper)
LCCN
98014784
Owning Institutions
Columbia University Libraries