https://github.com/winterwind/covid19_transfer_learning
A larger data science project that uses a 2D Convolutional Neural Network to determine the likelyhood of having covid-19 via CT images
https://github.com/winterwind/covid19_transfer_learning
2d-convolution adam-optimizer binary-classification cnn convolutional-neural-networks ct-images ct-scans eigencam gradcam heatmap jupyter-notebook matplotlib matplotlib-pyplot neural-networks numpy pyplot python pytorch resnet-18 transfer-learning
Last synced: 7 months ago
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A larger data science project that uses a 2D Convolutional Neural Network to determine the likelyhood of having covid-19 via CT images
- Host: GitHub
- URL: https://github.com/winterwind/covid19_transfer_learning
- Owner: Winterwind
- Created: 2024-12-13T22:35:10.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2024-12-13T22:44:07.000Z (11 months ago)
- Last Synced: 2025-04-08T04:32:12.525Z (7 months ago)
- Topics: 2d-convolution, adam-optimizer, binary-classification, cnn, convolutional-neural-networks, ct-images, ct-scans, eigencam, gradcam, heatmap, jupyter-notebook, matplotlib, matplotlib-pyplot, neural-networks, numpy, pyplot, python, pytorch, resnet-18, transfer-learning
- Language: Jupyter Notebook
- Homepage:
- Size: 143 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md