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Related Questions
- Can you describe how model interpretability and architecture are connected?
- How does the type of neural network architecture influence feature importance and attribution?
- Can you provide an example of a simple architecture that allows for straightforward attribution of results?
- What role does modularity play in making the interpretation of results more tractable?
- In the context of deep neural networks, how do explainable AI (XAI) techniques interact with architecture decisions?
- Are certain types of activation functions better suited to model explainability than others?
- Can you discuss how neural architecture search (NAS) affects the explainability of resulting models?
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