GATE DA Machine Learning – Full Mock Test-1

Questions 86-90 of 100

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Question 86

MCQ · Single Correct 2 mark

How does Momentum SGD update velocity v_t with momentum factor \beta and learning rate eta?

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Question 87

MCQ · Single Correct 2 mark

What is the effect of L2 Weight Decay on weight parameter updates during Gradient Descent?

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Question 88

MCQ · Single Correct 2 mark

Which technique prevents Exploding Gradients in Recurrent or Deep Neural Networks by thresholding the gradient norm?

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Question 89

MCQ · Single Correct 1 mark

A neural network hidden layer receives input x and computes z = W x + b. If x has dimension 10 and z has dimension 20, what is the dimension of weight matrix W?

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Question 90

MCQ · Single Correct 2 mark

Why can compositions of purely LINEAR hidden activation functions in MLPs NOT model non-linear boundaries?

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