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Which of the following techniques performs similar operations as a dropout in a neural network?Question 5Select one:A.StackingB.NoneC.BoostingD.Bagging

Question

Which of the following techniques performs similar operations as a dropout in a neural network?Question 5Select one:A.StackingB.NoneC.BoostingD.Bagging

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Solution

The technique that performs similar operations as a dropout in a neural network is B. None.

Dropout is a regularization technique for reducing overfitting in neural networks. This technique temporarily drops out neurons (along with their connections) from the network during training. The dropped-out neurons are not considered during a particular forward or backward pass.

More formally, dropout works by effectively training a different sub-network with each iteration of training. At each training stage, individual nodes are either "dropped out"

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1/1

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