GitHub - Caesar107/Plant-Pathology-2020---FGVC7: Plant Pathology 2020 - FGVC7 The challenge was to classify apple tree leaves to identify potential leaf diseases. The dataset contains 3,642 leaf images, divided into a 50% training set and a 50% test set.

Explore the process of proposing and implementing solutions for effectively classifying apple tree leaves and identifying foliar diseases.

Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
Filtersize_tuning.ipynb		Filtersize_tuning.ipynb
README.md		README.md
dense_tuiningv3.ipynb		dense_tuiningv3.ipynb
dropout-tuning.ipynb		dropout-tuning.ipynb
group1_Plant Pathology.ipynb		group1_Plant Pathology.ipynb
learning rate-tuning.ipynb		learning rate-tuning.ipynb

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