Name		Name	Last commit message	Last commit date
augmentation_results		augmentation_results
cloud_dataset		cloud_dataset
confusion_matrixs		confusion_matrixs
gradcam_results		gradcam_results
logs/fit		logs/fit
new_confusion_matrixes		new_confusion_matrixes
new_plots		new_plots
pliki_budowa		pliki_budowa
plots		plots
raw_cloud_dataset		raw_cloud_dataset
.gitattributes		.gitattributes
README.md		README.md
best_model.keras		best_model.keras
budowa_krok_3_5.ipynb		budowa_krok_3_5.ipynb
callbacks.py		callbacks.py
config.py		config.py
data_utils.py		data_utils.py
evaluation_utils.py		evaluation_utils.py
gradcam_analysis.py		gradcam_analysis.py
metrics.py		metrics.py
model_1.py		model_1.py
model_1_tuning.py		model_1_tuning.py
model_2.py		model_2.py
model_3.py		model_3.py
model_4.py		model_4.py
model_5.py		model_5.py
re_model_1.py		re_model_1.py
requirements.txt		requirements.txt
testing.py		testing.py

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Cloud_Classification-ML_Team_Project

Co trzeba jeszcze zrobić

Hiperparametry: keras tuner najpierw bayes pozniej random pozniej grid

Interpretowalność, które obszary sa najważniejsze

Shab

Architektura:
    CBAM 
    VGG (chyba za duze wymagania)
    inception

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