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Explainable Ai With Python
Springer Nature Switzerland AG
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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.
- | By (Author): Leonida Gianfagna
- | Publisher: Springer Nature Switzerland AG
- | Publication Date: Apr 29, 2021
- | Country of Publication: Switzerland
- | Number of Pages: 202 pages
- | Language: Unknown
- | Binding: Softback
- | ISBN-10: 3030686396
- | ISBN-13: 9783030686390
- By (Author):
- Leonida Gianfagna
- Publisher:
- Springer Nature Switzerland AG
- Publication Date:
- Apr 29, 2021
- Country of Publication:
- Switzerland
- Language:
- Unknown
- Number of pages:
- 202 pages
- Binding:
- Softback
- ISBN-10:
- 3030686396
- ISBN-13:
- 9783030686390