hierarchical-dnn-interpretations

csinva

Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)

neural-network artificial-intelligence

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21 Forks

6 Watchers

Jupyter Notebook Language

mit License

100 SrcLog Score

Cost to Build

$372.0K

Market Value

$607.4K

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12 data points · 2021-08-01 → 2026-10-01

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What is the csinva/hierarchical-dnn-interpretations GitHub project? Description: "Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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