Deep Convolutional Generalized Classifier Neural Network

Up to date technological implementations of deep convolutional neural networks are at the forefront of many issues, such as autonomous device control, effective image and pattern recognition solutions. Deep neural networks generally utilize a hybrid topology of a feature extractor containing convolu...

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Veröffentlicht in:	Neural processing letters 2020-06, Vol.51 (3), p.2839-2854
Hauptverfasser:	Sarigul, Mehmet, Ozyildirim, B. Melis, Avci, Mutlu
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Artificial Intelligence Artificial neural networks Back propagation networks Classification Classifiers Codes Complex Systems Computational Intelligence Computer Science Datasets Deep learning Experiments Feature extraction Hybrid structures Machine learning Network topologies Neural networks Neurons Pattern recognition Performance evaluation Support vector machines
Online-Zugang:	Volltext
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