Training.ipynb contains the trained model with an trained accuracy of 98.5 and validation accuracy of 96.5 Testing.ipynb consist of testing the model Trained_model.keras is the saved model of Training.ipynb App.py is a python code where a disease identification webpage is created using streamlit. Trained_model.keras is used to run our model.
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speedypail/Coconut-Leaf-Disease-Identification-using-CNN
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This is a Machine leaning model for identifying coconut leaf disease using CNN (Convolutional Neural Network)
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