DeepLearning_Cats-Dogs

torch # core deep learning library (CPU or GPU) torchvision # image datasets, transforms, models

=== Image / data processing ===

Pillow # required for image loading (used by torchvision) numpy # numerical arrays and utilities

tqdm # progress bars (optional but useful) matplotlib # optional for visualizing samples, losses, etc.

scikit-learn # optional: metrics like accuracy_score, confusion_matrix

Name		Name	Last commit message	Last commit date
Latest commit History 38 Commits
__pycache__		__pycache__
catdog_data		catdog_data
.gitignore		.gitignore
Figure_1(1e-3).png		Figure_1(1e-3).png
Figure_1(1e-4).png		Figure_1(1e-4).png
Figure_1(1e-5).png		Figure_1(1e-5).png
Figure_1.jpg		Figure_1.jpg
Ginger_european_cat.jpg		Ginger_european_cat.jpg
Project01 (1).py		Project01 (1).py
README.md		README.md
Run 1.png		Run 1.png
Run 2.png		Run 2.png
Run 3.png		Run 3.png
Run 4.png		Run 4.png
Run 5.png		Run 5.png
best_catdog_acc_74_67.pth		best_catdog_acc_74_67.pth
dataAUGtest.py		dataAUGtest.py
dataloader.py		dataloader.py
dataloaderZOOM_AUG.py		dataloaderZOOM_AUG.py
final_report.ipynb		final_report.ipynb
final_report.pdf		final_report.pdf
final_report10.html		final_report10.html
inference.py		inference.py
model.py		model.py
report.ipynb		report.ipynb
run6.jpeg		run6.jpeg
testdataloader.py		testdataloader.py
training.py		training.py