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Lecture 4 in the Introduction to Exercise Notebook: ds100.org/sp20/resources/assets/lectures/lec19/ Ridge Regression is a neat little way to ensure you don't overfit your training data - essentially, you are desensitizing your model ... Covers L1 and L2 penalties, weight decay, and AdamW. - Explains implicit Lasso Regression is super similar to Ridge Regression, but there is one big, huge difference between the two. In this video, I start ... This video is part of the Udacity course "Deep This is a video that introduces Weight Decay, Early stopping, Manifold Tangent Classifier, Noise injection.
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