Understanding convolutional neural networks using a minimal model for handwritten digit recognition-Reference-Cited by-同舟云学术

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Understanding convolutional neural networks using a minimal model for handwritten digit recognition

Published:2017-10 Issue: Volume: Page:
ISSN:
Container-title:2017 IEEE 2nd International Conference on Automatic Control and Intelligent Systems (I2CACIS)
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Author:

Teow Matthew Y. W.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8171442/8239002/08239052.pdf?arnumber=8239052

Cited by 30 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Reducing noise using neighbourhood pixel analysis and interpretable custom kernel in CNN model for CP handwritten digit recognition;International Journal of Information Technology;2024-06-22

2. A Comparison and Evaluation of Handwritten Digit Recognition (HDR) Algorithms;Algorithms for Intelligent Systems;2024

3. Enhancing Handwritten Character Recognition with XGBoost: A Machine Learning Approach;2023 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI);2023-12-21

4. Hand Written Digit Recognition using Multilayer Deep Convolutional Neural Network;2023 Third International Conference on Smart Technologies, Communication and Robotics (STCR);2023-12-09

5. Performance Assessment of U-Net for Semantic Segmentation of Liquid Spray Images with Gaussian Blurring;2023 IEEE International Conference on Computing (ICOCO);2023-10-09

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