A new growing pruning deep learning neural network algorithm (GP-DLNN)

During the last decade, a significant research progress has been drawn in both the theoretical aspects and the applications of Deep Learning Neural Networks. Besides their spectacular applications, optimal architectures of these neural networks may speed up the learning process and exhibit better ge...

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Veröffentlicht in:	Neural computing & applications Jg. 32; H. 24; S. 18143 - 18159
Hauptverfasser:	Zemouri, Ryad, Omri, Nabil, Fnaiech, Farhat, Zerhouni, Noureddine, Fnaiech, Nader
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer London 01.12.2020 Springer Nature B.V Springer Verlag
Schlagworte:	Algorithms Artificial Intelligence Artificial neural networks Computational Biology/Bioinformatics Computational Science and Engineering Computer architecture Computer Science Data Mining and Knowledge Discovery Datasets Deep learning Image Processing and Computer Vision Machine Learning Neural networks Optimization Probability and Statistics in Computer Science Wsom 2017 Deep learning Constructive neural networks Deep neural networks Growing algorithm Pruning algorithm
ISSN:	0941-0643, 1433-3058
Online-Zugang:	Volltext
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