The effect of activation functions on accuracy, convergence speed, and misclassification confidence in CNN text classification: a comprehensive exploration

Convolutional neural networks (CNNs) have become a useful tool for a wide range of applications such as text classification. However, CNNs are not always sufficiently accurate to be useful in certain applications. The selection of activation functions within CNN architecture can affect the efficacy...

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Veröffentlicht in:	The Journal of supercomputing 2024, Vol.80 (1), p.292-312
Hauptverfasser:	Emanuel, Rebecca H. K., Docherty, Paul D., Lunt, Helen, Möller, Knut
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Classification Compilers Computer Science Convergence Datasets Hyperbolic functions Interpreters Processor Architectures Programming Languages Text categorization
Online-Zugang:	Volltext
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