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Dropout in Neural Networks - Explained
In this video, we dive into dropout, a popular regularization technique in deep learning that helps prevent overfitting by randomly deactivating neurons during training. You'll learn how it works, why it's effective, and how inverted dropout ensures consistency at test time. *References* L1 vs L2 regularization: https://youtu.be/aBgMRXSqd04 ...
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