https://github.com/relostar-devil/handwritten-digit-classification
Builds a convolutional neural network (CNN) using TensorFlow and Keras to classify handwritten digits from the MNIST dataset. The model achieves high accuracy through data preprocessing, feature extraction, and training, demonstrating the power of deep learning for image recognition tasks.
https://github.com/relostar-devil/handwritten-digit-classification
cnn-architecture deep-learning mnist-handwriting-recognition neural-networks tensorflow-keras
Last synced: 4 months ago
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Builds a convolutional neural network (CNN) using TensorFlow and Keras to classify handwritten digits from the MNIST dataset. The model achieves high accuracy through data preprocessing, feature extraction, and training, demonstrating the power of deep learning for image recognition tasks.
- Host: GitHub
- URL: https://github.com/relostar-devil/handwritten-digit-classification
- Owner: Relostar-Devil
- Created: 2025-02-12T18:14:50.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-02-12T18:16:44.000Z (over 1 year ago)
- Last Synced: 2025-02-12T19:29:25.776Z (over 1 year ago)
- Topics: cnn-architecture, deep-learning, mnist-handwriting-recognition, neural-networks, tensorflow-keras
- Language: Jupyter Notebook
- Homepage:
- Size: 23.4 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0