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In this video, we dive into Regularization — the set of methods we use to deal with overfitting while training a Machine Learning Model including a deep neural network. We’ll start with L1 and L2 Regularization and then will move on the DropOut Regularization and then will move on to Data Augmentation and Early Stopping. By the end, you ...
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