A Developmental Approach for Training Deep Belief Networks
A Developmental Approach for Training Deep Belief Networks
About this item
Full title
Author / Creator
Publisher
New York: Springer US
Journal title
Language
English
Formats
Publication information
Publisher
New York: Springer US
Subjects
More information
Scope and Contents
Contents
Deep belief networks (DBNs) are stochastic neural networks that can extract rich internal representations of the environment from the sensory data. DBNs had a catalytic effect in triggering the deep learning revolution, demonstrating for the very first time the feasibility of unsupervised learning in networks with many layers of hidden neurons. The...
Alternative Titles
Full title
A Developmental Approach for Training Deep Belief Networks
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2919734861
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2919734861
Other Identifiers
ISSN
1866-9956
E-ISSN
1866-9964
DOI
10.1007/s12559-022-10085-5
