Deep Learning: Regularization - Part 2 (WS 20/21)

Deep Learning - Regularization Part 2 This video discusses classical regularization techniques such as early stopping using a validation set, augmentation, and maximum a-posteriori methods that expand the loss function using a regularization term. 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 learning h