Unsupervised Learning: Foundations of Neural Computation (Computational Neuroscience Series)

Name: Unsupervised Learning: Foundations of Neural Computation (Computational Neuroscience Series)
Brand: MIT Press
Availability: OutOfStock
Rating: 5 (1 reviews)

By Geoffrey Hinton

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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.

Product details

Binding:

Paperback

Edition:

illustrated

Number of Pages:

415

Release Date:

1999-05-24

Publication Date:

1999-05-24

Publisher:

MIT Press

Languages:

Published: English, Original: English

ISBN10:

026258168X

GPSR Manufacturer Reference:

[email protected]

Minimum Reading Age:

18

Maximum Reading Age:

99

Weight:

544 g

Height:

2.1 cm

Width:

23.2 cm

Thickness:

15.4 cm

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