Deep Learning Interview Questions and Answers
Question: Explain the concept of batch normalization and its advantages in training deep neural networks.Answer: Batch normalization normalizes the inputs of a layer within a mini-batch, reducing internal covariate shift. It stabilizes and accelerates the training process, enables the use of higher learning rates, and acts as a form of regularization, reducing the reliance on techniques like dropout. |
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