Related Question 2
What is the main function of dropout layers in a neural network?
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A.
Speed up training by skipping layers
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B.
Prevent co-adaptation of neurons to reduce overfitting
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C.
Ensure output is always positive
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D.
Increase network depth
Correct Answer: B
Explanation:
Dropout randomly turns off neurons during training, reducing overfitting.