Exploring Regularization Part I
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- In this video, we talk about the L1 and L2
- Regularization
- If you suspect your neural network is over fitting your data. That is you have a high variance problem, one of the first things you ...
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- We will explain Ridge, Lasso and a Bayesian interpretation of both. ABOUT ME ⭕ Subscribe: ...
In-Depth Information on Regularization Part I
Ridge Regression is a neat little way to ensure you don't overfit your training data - essentially, you are desensitizing your model ... This lecture motivates and derives Lasso Regression is super similar to Ridge Regression, but there is one big, huge difference between the two. In this video, I start ... People often ask why Lasso Regression can make parameter values equal 0, but Ridge Regression can not. This StatQuest ...
We talk about various approaches to handle generalization issue in NNs; namely, hyperparameter tuning and various ...
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