Efficent Network to Predict Skin Cancer

Open the app.py to see libraries to install. After doing all of that, that's all

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
dataset		dataset
1.0.0		1.0.0
README.md		README.md
classification_report.py		classification_report.py
classification_report.txt		classification_report.txt
confusion_matrix.png		confusion_matrix.png
confusion_matrix.py		confusion_matrix.py
efficientnet_skin_cancer.h5		efficientnet_skin_cancer.h5
efficientnet_skin_cancer.py		efficientnet_skin_cancer.py
efficientnetwork_version.py		efficientnetwork_version.py
pip		pip
plot_metrics.py		plot_metrics.py
roc_auc_curve.py		roc_auc_curve.py
save_dummy_history.py		save_dummy_history.py
skin_cancer_app.py		skin_cancer_app.py
training_history.npy		training_history.npy
training_plot.png		training_plot.png

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