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 or LinkedIn Interested in joining our network? Get reminders for talks, videos and job offers related to machine le