Instruction: Discuss the specific challenges of interpreting deep learning models and propose methods to address these challenges.
Context: This question probes the candidate's understanding of the complexities involved in making deep learning models explainable and their knowledge of current solutions.
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The way I'd think about it is this: The main challenge is that deep learning models can capture complex patterns without offering inherently legible reasoning. That makes it harder to explain predictions in a way that is both faithful and understandable, especially when the model...