https://github.com/sumaiyatarannumnoor/a-deep-learning-approach-to-mango-leaf-disease-detection

https://github.com/sumaiyatarannumnoor/a-deep-learning-approach-to-mango-leaf-disease-detection

cnn convolutional-neural-networks custom-cnn deep-learning neural-network

Last synced: 1 day ago
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• Host: GitHub
• URL: https://github.com/sumaiyatarannumnoor/a-deep-learning-approach-to-mango-leaf-disease-detection
• Owner: SumaiyaTarannumNoor
• License: apache-2.0
• Created: 2021-12-23T15:24:28.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2024-01-28T04:07:51.000Z (12 months ago)
• Last Synced: 2024-11-19T00:47:17.390Z (2 months ago)
• Topics: cnn, convolutional-neural-networks, custom-cnn, deep-learning, neural-network
• Language: Jupyter Notebook
• Homepage:
• Size: 1.23 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# A-Deep-Learning-Approach-to-Mango-Leaf-Disease-Detection

I developed a custom Convolutional Neural Network(CNN) for the purpose. It includes 16 layers: 5 convolutional layers, 5 max pool layers, 5 ReLU layers and 1 softmax activation layers.

This project was supervised by Dr. Sifat Momen, Associate Professor, North South University, Dhaka, Bangladesh.