https://github.com/jahanostg/cnn_hand_writing_detection
This project implements a Convolutional Neural Network (CNN) to recognize handwritten digits from the MNIST dataset. The model achieves over 99% accuracy on the test set, demonstrating its effectiveness in image classification tasks. It’s designed as a simple yet powerful example for learning deep learning and computer vision techniques.
https://github.com/jahanostg/cnn_hand_writing_detection
cnn colab-notebook deep-learning keras python tensorflow
Last synced: 2 months ago
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This project implements a Convolutional Neural Network (CNN) to recognize handwritten digits from the MNIST dataset. The model achieves over 99% accuracy on the test set, demonstrating its effectiveness in image classification tasks. It’s designed as a simple yet powerful example for learning deep learning and computer vision techniques.
- Host: GitHub
- URL: https://github.com/jahanostg/cnn_hand_writing_detection
- Owner: jahanOSTG
- Created: 2025-08-25T17:24:00.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2025-08-25T17:56:25.000Z (11 months ago)
- Last Synced: 2025-08-25T19:31:16.332Z (11 months ago)
- Topics: cnn, colab-notebook, deep-learning, keras, python, tensorflow
- Language: Jupyter Notebook
- Homepage:
- Size: 57.6 KB
- Stars: 1
- Watchers: 0
- Forks: 0
- Open Issues: 0