https://github.com/shervinnd/cnn-model-for-mnist
This project implements a Convolutional Neural Network (CNN) trained on the MNIST dataset for handwritten digit recognition. The model achieves 100% accuracy on the test set, demonstrating its effectiveness in classifying digits with high precision.
https://github.com/shervinnd/cnn-model-for-mnist
cnn cnn-classification cnn-keras deep-learning deep-neural-networks iimageprocessing machine-learning mnist mnist-classification nuralnetwork tensorflow
Last synced: 24 days ago
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This project implements a Convolutional Neural Network (CNN) trained on the MNIST dataset for handwritten digit recognition. The model achieves 100% accuracy on the test set, demonstrating its effectiveness in classifying digits with high precision.
- Host: GitHub
- URL: https://github.com/shervinnd/cnn-model-for-mnist
- Owner: shervinnd
- Created: 2025-05-24T20:25:10.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2025-05-24T20:27:12.000Z (5 months ago)
- Last Synced: 2025-06-04T12:46:19.112Z (4 months ago)
- Topics: cnn, cnn-classification, cnn-keras, deep-learning, deep-neural-networks, iimageprocessing, machine-learning, mnist, mnist-classification, nuralnetwork, tensorflow
- Language: Jupyter Notebook
- Homepage:
- Size: 792 KB
- Stars: 1
- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# CNN-model-for-Mnist
This project implements a Convolutional Neural Network (CNN) trained on the MNIST dataset for handwritten digit recognition. The model achieves 100% accuracy on the test set, demonstrating its effectiveness in classifying digits with high precision.