https://github.com/bhuvan588/eye-disease-detection

Detecting eye diseases using AlexNet architecture
https://github.com/bhuvan588/eye-disease-detection

alexnet-tensorflow cnn-keras deep-learning disease-detection neural-network python

Last synced: 29 days ago
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Detecting eye diseases using AlexNet architecture

• Host: GitHub
• URL: https://github.com/bhuvan588/eye-disease-detection
• Owner: Bhuvan588
• Created: 2024-07-14T19:47:19.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2024-07-14T20:26:34.000Z (6 months ago)
• Last Synced: 2024-07-14T21:29:50.564Z (6 months ago)
• Topics: alexnet-tensorflow, cnn-keras, deep-learning, disease-detection, neural-network, python
• Language: Jupyter Notebook
• Homepage:
• Size: 185 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Eye-Disease-Detection

![image](https://github.com/user-attachments/assets/801cdc51-aba8-40df-80b3-51e2a572e5d7)

The above code demonstrates Eye disease detection using the AlexNet architecture. 5 classes of Eye Diseases included, Bulging Eyes, Cataract,Crossed Eyes ,Glaucoma and Uveitis

As seen above, AlexNet has 5 Convolutional Layers followed by 2 Fully Connected Layers. To minimize overfitting , Dropout and BatchNormalization layers are also used in between the layers. 




# NOTE: 

This was just a code exercise, model may not be fully accurate