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Deep Learning: Regularization - Part 1 (WS 20/21)
Deep Learning: Regularization - Part 1 This video discusses the problem of over- and underfitting. In order to get a better understanding, we explore the bias-variance trade-off and look into the effects of training data size and the number of parameters. For reminders to watch the new video follow on Twitter https://twitter.com/maier_ak or ...
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