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\nModel-agnostic methods for XAI are shown to produce explanations without relying on ML models internals that are \"opaque.\" Using examples from Computer Vision, the authors then look at explainable models for Deep Learning and prospective methods for the future.\n
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Model-agnostic methods for XAI are shown to produce explanations without relying on ML models internals that are \"opaque.\" Using examples from Computer Vision, the authors then look at explainable models for Deep Learning and prospective methods for the future.
\n schovat popis- Nakladatel: Springer Nature Switzerland AG
- Kód:
- Rok vydání: 2021
- Jazyk: Angličtina
- Vazba: Měkká
- Počet stran: 202
- Šířka balení: 23.5 cm
- Výška balení: 15.5 cm
- Hloubka balení: 2.6 cm
- Váha balení: 336 g
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