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Effects of data count and image scaling on Deep Learning training

BACKGROUND: Deep learning using convolutional neural networks (CNN) has achieved significant results in various fields that use images. Deep learning can automatically extract features from data, and CNN extracts image features by convolution processing. We assumed that increasing the image size usi...

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Detalles Bibliográficos
Autores principales: Hirahara, Daisuke, Takaya, Eichi, Takahara, Taro, Ueda, Takuya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924688/
https://www.ncbi.nlm.nih.gov/pubmed/33816963
http://dx.doi.org/10.7717/peerj-cs.312