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Interpretation of intelligence in CNN-pooling processes: a methodological survey

Interpretation of intelligence in CNN-pooling processes: a methodological survey

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2344371468

Interpretation of intelligence in CNN-pooling processes: a methodological survey

About this item

Full title

Interpretation of intelligence in CNN-pooling processes: a methodological survey

Publisher

London: Springer London

Journal title

Neural computing & applications, 2020-02, Vol.32 (3), p.879-898

Language

English

Formats

Publication information

Publisher

London: Springer London

More information

Scope and Contents

Contents

The convolutional neural network architecture has different components like convolution and pooling. The pooling is crucial component placed after the convolution layer. It plays a vital role in visual recognition, detection and segmentation course to overcome the concerns like overfitting, computation time and recognition accuracy. The elementary...

Alternative Titles

Full title

Interpretation of intelligence in CNN-pooling processes: a methodological survey

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2344371468

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2344371468

Other Identifiers

ISSN

0941-0643

E-ISSN

1433-3058

DOI

10.1007/s00521-019-04296-5

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