FrImCla: A Framework for Image Classification using Traditional and Transfer Learning Techniques

Deep learning techniques are currently the state of the art approach to deal with image classification problems. Nevertheless, non-expert users might find challenging the use of these techniques due to several reasons, including the lack of enough images, the necessity of trying different models and...

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Veröffentlicht in:	IEEE access 2020-01, Vol.8, p.1-1
Hauptverfasser:	Garcia-Dominguez, M., Dominguez, C., Heras, J., Mata, E., Pascual, V.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms AutoML Classification Computer vision Datasets Deep learning Feature extraction Hardware Image classification Machine learning Source code Statistical analysis Transfer learning
Online-Zugang:	Volltext
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