This video is an overall package to understand Dropout in Neural Network and then implement it in Python from scratch.

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Neural network regularization is a technique used to reduce the likelihood of model overfitting. There are several forms of regularization. The most common form is called L2 regularization. If you ...

I covered L2 regularization more thoroughly in a previous column, aptly named " Neural Network L2 Regularization Using Python." There are very few guidelines about which form of regularization, L1 or ...