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Game Theory-Shapley values: Model Interpretation

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Demystifying Neural Nets

Detailed explanation of each theme can be found in the link next to each category

Batch Normalization vs. Dropout: https://medium.com/mlearning-ai/demystifying-batch-normalization-vs-drop-out-1c8310d9b516
Game Theory-Shapley values: Explain Unexplainables: https://medium.com/mlearning-ai/demystifying-neural-nets-with-shapley-values-cca29c836089

Datasets

Batch Normalization vs. Dropout: CIFAR10 (https://keras.io/api/datasets/cifar10/)
Game Theory-Shapley values: Google Crawled Images (saved as zip file in the Shapley folder)

Environment

Google Colab - GPU

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