Placeholder text

Go to cart

Unsupervised Learning

By Geoffrey Hinton

Unsupervised Learning Medicine

Unsupervised Learning

0 - Used - good
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:
416
Release Date:
1999-05-24
Publication Date:
1999-05-24
Publisher:
MIT Press
Languages:
Original: English
ISBN10:
026258168X
ISBN13:
9780262581684
GPSR Manufacturer Reference:
[email protected]
Minimum Reading Age:
18
Maximum Reading Age:
99
Weight:
672 g
Height:
152 cm
Width:
229 cm
Thickness:
25 cm
Buy on Amazon
Currently sold out