Combination of Convolutional Neural Network Architecture and its Learning Method for Rotation‐Invariant Handwritten Digit Recognition
Author:
Affiliation:
1. Department of Electrical and Electronic Engineering Kobe University, 1‐1 Rokkodai‐cho, Nada‐ku Kobe Hyogo 657‐8501 Japan
2. Division of Electrical, Electronic and Information Engineering Osaka University, 2‐1 Yamadaoka, Suita Osaka 565‐0871 Japan
Publisher
Wiley
Subject
Electrical and Electronic Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/tee.23278
Reference10 articles.
1. A Survey of Handwritten Character Recognition with MNIST and EMNIST
2. Rotation Invariant Digit Recognition Using Convolutional Neural Network
3. LeeH HwangSJ.ShinJ.Rethinking data augmentation: Self‐supervision and self‐distillation.arXiv 2019 1910:5872.
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