Question: A data scientist aims to improve a neural network model ( for classification ) that has training accuracy 0 . 9 9 and testing accuracy

A data scientist aims to improve a neural network model (for classification) that has
training accuracy 0.99 and testing accuracy 0.6. Which strategy is MOST LIKELY
to improve the model?
A. Add another hidden, dense layer.
B. Apply dropout to all hidden layers, that is, some activation will be randomly
set to 0 during training.
C. Use a smaller learning rate.
D. Use a smaller training dataset

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