Unsupervised Learning is popular PDF and ePub book, written by Geoffrey Hinton in 1999-05-24, it is a fantastic choice for those who relish reading online the Medical genre. Let's immerse ourselves in this engaging Medical book by exploring the summary and details provided below. Remember, Unsupervised Learning can be Read Online from any device for your convenience.
Unsupervised Learning Book PDF Summary
Since its founding in 1989 by Terrence Sejnowski, Neural Computation has become the leading journal in the field. Foundations of Neural Computation collects, by topic, the most significant papers that have appeared in the journal over the past nine years. This volume of Foundations of Neural Computation, 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.
Detail Book of Unsupervised Learning PDF
- Author : Geoffrey Hinton
- Release : 24 May 1999
- Publisher : MIT Press
- ISBN : 026258168X
- Genre : Medical
- Total Page : 420 pages
- Language : English
- PDF File Size : 16,7 Mb
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