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https://github.com/bunyaminyavuz/mnistdenoisingandclassification
A comprehensive project demonstrating the effects of noise on MNIST digit classification and the improvements achieved using denoising techniques. Includes data preprocessing, model training, and visualization using Streamlit.
https://github.com/bunyaminyavuz/mnistdenoisingandclassification
classification data-augmentation deep-learning denoising image-processing keras machine-learning mnist neural-networks noise-reduction python streamlit tensorflow
Last synced: about 1 month ago
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A comprehensive project demonstrating the effects of noise on MNIST digit classification and the improvements achieved using denoising techniques. Includes data preprocessing, model training, and visualization using Streamlit.
- Host: GitHub
- URL: https://github.com/bunyaminyavuz/mnistdenoisingandclassification
- Owner: BunyaminYavuz
- Created: 2024-12-16T22:02:56.000Z (about 2 months ago)
- Default Branch: master
- Last Pushed: 2024-12-26T20:04:09.000Z (about 1 month ago)
- Last Synced: 2024-12-26T20:19:03.215Z (about 1 month ago)
- Topics: classification, data-augmentation, deep-learning, denoising, image-processing, keras, machine-learning, mnist, neural-networks, noise-reduction, python, streamlit, tensorflow
- Language: Jupyter Notebook
- Homepage:
- Size: 4.62 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0