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https://github.com/akshay-vs/cnn-image-classification
This project uses a CIFAR dataset-trained convolutional neural network to classify input images, whether it is a pre-processed image from the dataset or a user-supplied image via URL, with the functionality to assign a confidence score to the prediction.
https://github.com/akshay-vs/cnn-image-classification
adam-optimizer cnn-keras crossentropyloss image-classification machine-learning neural-network python tensorflow urllib
Last synced: about 1 month ago
JSON representation
This project uses a CIFAR dataset-trained convolutional neural network to classify input images, whether it is a pre-processed image from the dataset or a user-supplied image via URL, with the functionality to assign a confidence score to the prediction.
- Host: GitHub
- URL: https://github.com/akshay-vs/cnn-image-classification
- Owner: Akshay-Vs
- License: mit
- Created: 2023-01-16T01:57:57.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2023-01-19T05:27:06.000Z (almost 2 years ago)
- Last Synced: 2023-03-04T18:10:29.964Z (almost 2 years ago)
- Topics: adam-optimizer, cnn-keras, crossentropyloss, image-classification, machine-learning, neural-network, python, tensorflow, urllib
- Language: Jupyter Notebook
- Homepage:
- Size: 10.7 KB
- Stars: 2
- Watchers: 2
- Forks: 0
- Open Issues: 0