Generative Teaching Networks
Connor explains how generative teaching networks create unique datasets for training classifiers, potentially overcoming data limitations in machine learning. Keith and Yannic discuss the connection between these datasets and adversarial examples, highlighting the subtle features that can disrupt algorithms' performance.In this clip
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