15 janvier 2019
- Animateurs: Myriam Chabah, Jerome Habonneau et Yann Le Gall
- Question concrète: Classification Mine vs Rocher sur images sonar - Deep Learning sur des petites bases de données ?
- Méthode machine learning: Transfer learning à partir de CNN pré-entrainés sur images optiques, Classifieurs Machine Learning (SVM, Random Forest)
- Dataset formatté et benchmarké: Base MNIST réduite
Présentation
2018_Presentation_Alloha_OPEN.pdf
Notebooks et fichiers data:
- Cats&Dogs/SmallNet.ipynb: Cats & Dogs Tutorial, train a small network (Adapted from François Chollet GitHub/classifier_from_little_data_scipt_1.py)
- Cats&Dogs/VGGfineTuning.ipynb: Cats & Dogs Tutorial, take a pre-trained network and fine-tune it on new classification task (Adapted from François Chollet GitHub/classifier_from_little_data_scipt_3.py)
- Cats&Dogs/VGGplusTopClassifier.ipynb: Cats & Dogs Tutorial, take a pre-trained network as a feature extractor and train a classifier on it (Adapted from François Chollet GitHub/classifier_from_little_data_scipt_2.py)
- MINC_2500/SmallNet.ipynb: MINC 2500 Tutorial, train a small network
- MINC_2500/SmallNet-NoDataAug.ipynb: MINC 2500 Tutorial, train a small network
- MINC_2500/VGGfineTuning.ipynb: MINC 2500 Tutorial, take a pre-trained network and fine-tune it on new classification task
- MINC_2500/VGGfineTuning-NoDataAug.ipynb: MINC 2500 Tutorial, take a pre-trained network and fine-tune it on new classification task
- MINC_2500/VGGplusTopClassifier.ipynb: MINC 2500 Tutorial, take a pre-trained network as a feature extractor and train a classifier on it
- MNIST_reduced/SmallNet-Copy1.ipynb: Reduced MNIST Tutorial, train a small network
- MNIST_reduced/SmallNet.ipynb: Reduced MNIST Tutorial, train a small network
- MNIST_reduced/VGGfineTuning.ipynb: Reduced MNIST Tutorial, take a pre-trained network and fine-tune it on new classification task
- MNIST_reduced/VGGfineTuning-NoDataAug.ipynb: Reduced MNIST Tutorial, take a pre-trained network and fine-tune it on new classification task
- MNIST_reduced/VGGplusTopClassifier.ipynb: Reduced MNIST Tutorial, take a pre-trained network as a feature extractor and train a classifier on it