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https://github.com/sauravwel/handwritten-digit-recognition-using-deep-learning-on-mnist-dataset
This project focuses on recognizing handwritten digits using deep learning techniques on the MNIST dataset. It employs TensorFlow, Keras, and PyTorch to train and evaluate the model, achieving an accuracy of over 98%. The project demonstrates the effectiveness of deep learning in solving image classification tasks.
https://github.com/sauravwel/handwritten-digit-recognition-using-deep-learning-on-mnist-dataset
Last synced: about 2 months ago
JSON representation
This project focuses on recognizing handwritten digits using deep learning techniques on the MNIST dataset. It employs TensorFlow, Keras, and PyTorch to train and evaluate the model, achieving an accuracy of over 98%. The project demonstrates the effectiveness of deep learning in solving image classification tasks.
- Host: GitHub
- URL: https://github.com/sauravwel/handwritten-digit-recognition-using-deep-learning-on-mnist-dataset
- Owner: sauravwel
- Created: 2023-01-30T09:21:17.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2023-01-30T09:33:49.000Z (almost 2 years ago)
- Last Synced: 2023-04-27T12:22:03.289Z (over 1 year ago)
- Language: Jupyter Notebook
- Size: 7.81 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0