├── .gitignore ├── 1_test_models_dataset.ipynb ├── 2_predictions_with_pretrained_models.ipynb ├── 3_fine_tuning_experiments.ipynb ├── 4_features_extraction.ipynb ├── 5_data_augmentation.ipynb ├── 6_data_augmentation_with_features_extractor.ipynb ├── Bacteria_TL ├── __pycache__ │ ├── datasets.cpython-36.pyc │ ├── resnet.cpython-36.pyc │ └── training.cpython-36.pyc ├── clinical_pretrained_model.ckpt ├── datasets.py ├── finetuned_model.ckpt ├── pretrained_model.ckpt ├── resnet.py └── training.py ├── Project Report ├── MICHELUCCI_867644_SINGLAN_867646_Report.pdf ├── MICHELUCCI_867644_SINGLAN_867646_Report.tex ├── extractor_data_augmentation_model_results.png ├── extractor_model_results.png ├── finetuning_data_augmentation_model_results.png ├── finetuning_model_results.png ├── logo.png └── raw_model_results.png ├── ProjectPresentation.png ├── README.md ├── checkpoints ├── checkpointCategory1Clinical ├── checkpointCategory1Finetuned ├── checkpointCategory1Pretrained ├── checkpointCategory2Clinical ├── checkpointCategory2Finetuned ├── checkpointCategory2Pretrained ├── checkpointCategory3Clinical ├── checkpointCategory3Finetuned ├── checkpointCategory3Pretrained └── checkpointDataAugmentation ├── data_loader.py └── extractor.py /.gitignore: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/nsgln/Deep-Learning-Raman-Spectroscopy/HEAD/.gitignore -------------------------------------------------------------------------------- /1_test_models_dataset.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/nsgln/Deep-Learning-Raman-Spectroscopy/HEAD/1_test_models_dataset.ipynb -------------------------------------------------------------------------------- /2_predictions_with_pretrained_models.ipynb: -------------------------------------------------------------------------------- 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