https://github.com/sonigarima/simple_binary_classification
Used Inbuilt vgg16 with weights captured using imagenet database, in binary classification.
https://github.com/sonigarima/simple_binary_classification
binary-classification
Last synced: 3 days ago
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Used Inbuilt vgg16 with weights captured using imagenet database, in binary classification.
- Host: GitHub
- URL: https://github.com/sonigarima/simple_binary_classification
- Owner: SoniGarima
- Created: 2020-05-04T02:53:37.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2020-05-26T07:43:28.000Z (about 6 years ago)
- Last Synced: 2025-02-21T23:39:17.456Z (over 1 year ago)
- Topics: binary-classification
- Language: Jupyter Notebook
- Homepage:
- Size: 35.2 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# simple_binary_classification
I have just tried vgg 16 model in binary classification and found that even shallow networks perform better in it. I have used the data of malaria cells either parasitized or not.