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https://github.com/a9na/handwritten-digit-recognition-cnn
This project involves creating a Convolutional Neural Network (CNN) to classify handwritten digits (0-9) using the MNIST dataset. The MNIST dataset consists of 28x28 grayscale images of handwritten digits. The goal is to build, train, and evaluate a CNN model to accurately predict the digit in each image.
https://github.com/a9na/handwritten-digit-recognition-cnn
Last synced: about 2 months ago
JSON representation
This project involves creating a Convolutional Neural Network (CNN) to classify handwritten digits (0-9) using the MNIST dataset. The MNIST dataset consists of 28x28 grayscale images of handwritten digits. The goal is to build, train, and evaluate a CNN model to accurately predict the digit in each image.
- Host: GitHub
- URL: https://github.com/a9na/handwritten-digit-recognition-cnn
- Owner: a9na
- Created: 2024-07-31T12:37:25.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2024-07-31T12:39:10.000Z (5 months ago)
- Last Synced: 2024-07-31T15:52:55.023Z (5 months ago)
- Language: Python
- Size: 4.88 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0