Dropout is one of the most powerful techniques to prevent overfitting in deep learning — but it’s often misunderstood.
In this video, we break down dropout regularization in the simplest possible way:
• What dropout actually does inside a neural network
• Why randomly dropping neurons improves generalization
• How it reduces overfitting
• When to use (and not use) dropout
Whether you're learning deep learning or building real models, this concept is essential.
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