Impacts of Layer Sizes in Deep Residual-Learning Convolutional Neural Network on Flower Image Classification with Different class sizes-Reference-Cited by-同舟云学术

Impacts of Layer Sizes in Deep Residual-Learning Convolutional Neural Network on Flower Image Classification with Different class sizes

Published:2022-03-09 Issue: Volume: Page:
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Container-title:2022 International Electrical Engineering Congress (iEECON)
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Author:

Sarikabuta Pheeraphat¹,Supratid Siriporn¹

Affiliation:

1. Rangsit University,College of Digital Innovation Technology,Pathum-thani,Thailand

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9741561/9741562/09741662.pdf?arnumber=9741662

Reference12 articles.

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4. Flower image classification based on generative adversarial network and transfer learning;li;6th International Conference on Advances in Energy Resources and Environment Engineering,2020

5. Melanoma Cancer Classification Using ResNet with Data Augmentation

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