Ablation (neural network interpretability)
Ablation in neural network interpretability involves systematically removing components to assess their impact on model performance, aiding in understanding model decisions.
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Ablation in neural network interpretability involves systematically removing components to assess their impact on model performance, aiding in understanding model decisions.
Explainable artificial intelligence (XAI) refers to methods and techniques in AI that make the outcomes of machine learning models understandable to humans. XAI aims to provide transparency, interpretability, and trustworthiness in AI systems, especially in critical applications.