SA-CNN: Application to text categorization issues using simulated annealing-based convolutional neur...
SA-CNN: Application to text categorization issues using simulated annealing-based convolutional neural network optimization
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Publisher
Ithaca: Cornell University Library, arXiv.org
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English
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Publisher
Ithaca: Cornell University Library, arXiv.org
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Contents
Convolutional neural networks (CNNs) are a representative class of deep learning algorithms including convolutional computation that perform translation-invariant classification of input data based on their hierarchical architecture. However, classical convolutional neural network learning methods use the steepest descent algorithm for training, an...
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Full title
SA-CNN: Application to text categorization issues using simulated annealing-based convolutional neural network optimization
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TN_cdi_proquest_journals_2786648862
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2786648862
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E-ISSN
2331-8422
DOI
10.48550/arxiv.2303.07153
