Neural Network Reasoning
Keith and Paul discuss the importance of intelligibility in explanations, highlighting the difference between neural network reasoning and human reasoning. They explore the need to make neural networks more robust for better understanding their decision-making processes.In this clip
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Machine Learning Street Talk (MLST)
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