Question: In preprocessing training data for the deep learning model, why do we need to shuffle the data? a. To prepare for a stateful Deep Neural

In preprocessing training data for the deep learning model, why do we need to shuffle the data? 


a. To prepare for a stateful Deep Neural Network. 


b. To make it easier to create batches. 


c. To generate more training sets. 


d. To help gradient descent work better.

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