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Introduction to Interpretability

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Abstract

Artificial Intelligence (AI) and modern computing captivate a large and growing number of people. It’s fascinating to see how they progressed from a mere impression of mimicking human-like behavior to surpassing human-level performance that fits in one’s pocket.

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Correspondence to Dilip K. Prasad .

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Somani, A., Horsch, A., Prasad, D.K. (2023). Introduction to Interpretability. In: Interpretability in Deep Learning. Springer, Cham. https://doi.org/10.1007/978-3-031-20639-9_1

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  • DOI: https://doi.org/10.1007/978-3-031-20639-9_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-20638-2

  • Online ISBN: 978-3-031-20639-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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