https://github.com/joudalsadhan/handwritten-digit-classification-using-cnn
Handwritten digit classification is a fundamental problem in computer vision and pattern recognition, widely used in applications such as postal automation, bank check processing, and digital document analysis. This project aims to develop a machine learning model capable of accurately classifying handwritten digits using deep learning techniques.
https://github.com/joudalsadhan/handwritten-digit-classification-using-cnn
cnn cnn-classification computer-vision digit-classification machine-learning tensorflow
Last synced: 29 days ago
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Handwritten digit classification is a fundamental problem in computer vision and pattern recognition, widely used in applications such as postal automation, bank check processing, and digital document analysis. This project aims to develop a machine learning model capable of accurately classifying handwritten digits using deep learning techniques.
- Host: GitHub
- URL: https://github.com/joudalsadhan/handwritten-digit-classification-using-cnn
- Owner: joudalsadhan
- License: mit
- Created: 2025-08-27T13:56:53.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2025-08-27T15:28:30.000Z (10 months ago)
- Last Synced: 2025-08-28T00:39:11.855Z (10 months ago)
- Topics: cnn, cnn-classification, computer-vision, digit-classification, machine-learning, tensorflow
- Language: Jupyter Notebook
- Homepage:
- Size: 2.15 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0