GitHub - sweet-nes5/Travaux_Pratiques_DeepLearning: Travaux pratiques de machine learning et analyse de données : classification KNN, SVM, reconnaissance de motifs, et optimisation de modèles en Python.

Datasets

The datasets for this project can be found in the following Google Drive folder:

Please click the link above to access the datasets.

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
.idea		.idea
.ipynb_checkpoints		.ipynb_checkpoints
__pycache__		__pycache__
pub_database/archive		pub_database/archive
README.md		README.md
Schedular.py		Schedular.py
TP1.py		TP1.py
TP2.ipynb		TP2.ipynb
TP2.py		TP2.py
TP4.ipynb		TP4.ipynb
TP5.ipynb		TP5.ipynb
TP7.ipynb		TP7.ipynb
Untitled.ipynb		Untitled.ipynb
chargement-cifar10.py		chargement-cifar10.py
dataloader.ipynb		dataloader.ipynb
eng_fr_nn_transformer.ipynb		eng_fr_nn_transformer.ipynb
nn_model.py		nn_model.py
pub_preliminaries.py		pub_preliminaries.py
tp3.ipynb		tp3.ipynb
tp3.py		tp3.py
tp6.ipynb		tp6.ipynb