An In-Depth Study of Handwritten Digit Recognition Methods: An Exploration of Deep Learning and Machine Learning Approaches
Author:
Affiliation:
1. Chandigarh University,Department of Computer Science And Engineering,Punjab,India
2. Indian Institute of Information Technology,Department of Computer Science And Engineering,Guwahati,Assam,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10464384/10465267/10465327.pdf?arnumber=10465327
Reference17 articles.
1. Handwritten Digit Recognition Using Machine Learning Algorithms
2. Handwritten Digit Recognition using Machine and Deep Learning Algorithms
3. Handwritten Recognition Using SVM, KNN and Neural Network;Abdul Hamid,2017
4. Comparison of machine learning methods for classifying mediastinal lymph node metastasis of non-small cell lung cancer from 18F-FDG PET/CT images
5. Recognition of Handwritten Digit using Convolutional Neural Network in Python with Tensorflow and Comparison of Performance for Various Hidden Layers
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