Question: Why is it necessary to use dropout regularization in deep learning? A . To increase the model's capacity B . To eliminate bias in the

Why is it necessary to use dropout regularization in deep learning? A. To increase the model's capacity B. To eliminate bias in the model C. To reduce overfitting D. To speed up the training process

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