├── .gitignore ├── LICENSE ├── README.md ├── ahc.gif ├── backwards_multi_pass_test.gif ├── backwards_single_pass_test.gif ├── batch_norm_schematic.png ├── cira_ml_short_course ├── __init__.py ├── plotting │ ├── __init__.py │ ├── evaluation_plotting.py │ ├── image_plotting.py │ └── permutation_plotting.py └── utils │ ├── __init__.py │ ├── backwards_optimization.py │ ├── class_activation.py │ ├── cnn.py │ ├── image_normalization.py │ ├── image_thresholding.py │ ├── image_utils.py │ ├── keras_metrics.py │ ├── novelty_detection.py │ ├── saliency.py │ ├── upconvnet.py │ └── utils.py ├── dense_net_for_interpretation ├── history.csv └── model.h5 ├── dnn_schematic.png ├── dnn_schematic_ryan.jpg ├── dnn_schematic_ryan.odg ├── download_image_data.py ├── download_tabular_data.py ├── dropout_schematic.png ├── forward_multi_pass_test.gif ├── forward_single_pass_test.gif ├── gbf_schematic1.png ├── gbf_schematic2.jpeg ├── k_means.gif ├── lecture01_notebook.ipynb ├── lecture02_notebook.ipynb ├── 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