Exploring data leakage in Deep Learning
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You've trained your model and are getting highly accurate results for your training set, your validation set, and your test set. But when you put it into production, it is no longer accurate. What could be happening? Well, there are many answers, but one common possibility is that you have some form of data leakage between your datasets.
Join us as we explore some of the ways data leakage occurs and how it impacts Deep Learning models specifically (with examples). And please share your own struggles with data leakage and solutions.
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Best,
David, Robert and George
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