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https://github.com/samiksha-khare/neural-network-for-handwritten-digits-classification
This project focuses on building a neural network to classify handwritten digits (0-9) from the MNIST dataset. The model is trained using a feedforward neural network, evaluated with a confusion matrix, and tuned for optimal accuracy.
https://github.com/samiksha-khare/neural-network-for-handwritten-digits-classification
Last synced: about 1 month ago
JSON representation
This project focuses on building a neural network to classify handwritten digits (0-9) from the MNIST dataset. The model is trained using a feedforward neural network, evaluated with a confusion matrix, and tuned for optimal accuracy.
- Host: GitHub
- URL: https://github.com/samiksha-khare/neural-network-for-handwritten-digits-classification
- Owner: samiksha-khare
- License: mit
- Created: 2024-11-24T19:59:50.000Z (about 1 month ago)
- Default Branch: main
- Last Pushed: 2024-11-24T20:24:40.000Z (about 1 month ago)
- Last Synced: 2024-11-24T21:18:57.725Z (about 1 month ago)
- Language: Jupyter Notebook
- Size: 136 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0