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Leap Labs: AI Model Interpretability
We demonstrate a modelโagnostic method to infer an image classifierโs learned features using only the model, and present our analysis library and dashboard.
At Leap Labs we have developed a novel approach to AI interpretability. Our methods are model agnostic, and donโt require access to the original training data. We can extract information on what a neural network has learned directly from the model itself, and weโre packaging this capability up into a library and web dashboard for anyone to use. Weโd love to show you what we have so far with our initial support for image classification models.