---
title: "Explainable AI: Interpreting, Explaining and Visualizing Deep Learning"
ean: "9783030289539"
brand: "n/a"
category: "Medier > Bøger"
price_min: 789
price_max: 789
currency: DKK
vendor_count: 1
in_stock: true
url: https://pricetracker.dk/p/9783030289539/explainable-ai-interpreting-explaining-and-visualizing-deep-learning
last_checked: 2026-10-14
---

# Explainable AI: Interpreting, Explaining and Visualizing Deep Learning

EAN 9783030289539 · Mærke: n/a · Kategori: Medier > Bøger

Sammenlign priser på Explainable AI: Interpreting, Explaining and Visualizing Deep Learning fra 1 forhandler. Billigste pris nu: 789 kr hos Saxo DK. Se aktuelle priser og køb hos den billigste forhandler på https://pricetracker.dk/p/9783030289539/explainable-ai-interpreting-explaining-and-visualizing-deep-learning

## Priser
- **Billigste pris nu:** 789 kr hos Saxo DK
- **Prisspænd:** 789 kr – 789 kr på tværs af 1 forhandler

## Forhandlere
| Forhandler | Pris | Levering |
|---|---|---|
| Saxo DK | 789 kr | — |

## Om produktet
Beskrivelse fra forhandleren Saxo DK:

> The development of “intelligent” systems that can take decisions and perform autonomously might lead to faster and more consistent decisions. A limiting factor for a broader adoption of AI technology is the inherent risks that come with giving up human control and oversight to “intelligent” machines. Forsensitive tasks involving critical infrastructures and affecting human well-being or health, it is crucial to limit the possibility of improper, non-robust and unsafe decisions and actions. Before deploying an AI system, we see a strong need to validate its behavior, and thus establish guarantees that it will continue toperform as expected when deployed in a real-world environment. In pursuit of that objective, ways for humans to verify the agreement between the AI decision structure and their own ground-truth knowledge have been explored. Explainable AI (XAI) has developed as a subfield of AI, focused on exposing complex AI models to humans in a systematic and interpretable manner. The 22 chapters included in this book provide a timely snapshot of algorithms, theory, and applications ofinterpretable and explainable AI and AI techniques that have been proposed recently reflecting the current discourse in this field and providing directions of future development. The book is organized in six parts: towards AI transparency; methods for interpreting AI systems; explaining the decisions of AI systems;evaluating interpretability and explanations; applications of explainable AI; and software for explainable AI.

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Priserne er sidst kontrolleret 2026-10-14.