Deep learning fundamentals: What is regularization? Why does it work?

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How do you deal with a model that has overfit? Well, regularization of course. In this video, we talk about what regularization is, why it works and some specific techniques that are used to combat overfitting.

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Mısra Turp

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misraturp

Your videos and explanations are absolutely brilliant. You along with Andrew NG is a recipe for success.

jorgesanabria

your explanation is reasonably good. I am novice in data science please upload a full course on data science.

sanjeevraj

Thank you! Also the ADHD in me but your books look super interesting

andrew.sandler

But when features are more like the problem i am facing is to train an ANN model for credit card fraud transactions but unable to go beyond 81 or 82 percent precision and recall rate but random forest simply has given 97 or more precision and recall rate...i have tried l1, l2, drop out, weights and now looking for stacked model but these techniques of l1, l2 and dropout are useless

cafedreamboy

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