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Model Interpretability with TCAV (Testing with Concept Activation Vectors)
( go to the article → https://blog.dominodatalab.com/model-interpretability-tcav-testing-concept-activation-vectors/ )
This Domino Data Science Field Note provides very distilled insights and excerpts from Been Kim’s recent MLConf 2018 talk and research about Testing with Concept Activation Vectors (TCAV), an interpretability method that allows researchers to understand and quantitatively measure the high-level concepts their neural network models are using for prediction, “even if the concept was not […] The post Model Interpretability with TCAV (Testing with Concept Activation Vectors) appeared first on Data Science Blog by Domino.
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