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Huawei H13-311_V3.5 Practice Test - Questions Answers, Page 4

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List of questions

Question 31

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The derivative of the Rectified Linear Unit (ReLU) activation function in the positive interval is always:

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Question 32

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In a fully-connected structure, a hidden layer with 1000 neurons is used to process an image with the resolution of 100 x 100. Which of the following is the correct number of parameters?

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Question 33

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The global gradient descent, stochastic gradient descent, and batch gradient descent algorithms are gradient descent algorithms. Which of the following is true about these algorithms?

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Question 34

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Sigmoid, tanh, and softsign activation functions cannot avoid vanishing gradient problems when the network is deep.

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Question 35

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Single-layer perceptrons and logistic regression are linear classifiers that can only process linearly separable data.

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Question 36

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Nesterov is a variant of the momentum optimizer.

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Question 37

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Convolutional neural networks (CNNs) cannot be used to process text data.

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Question 38

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Which of the following activation functions may cause the vanishing gradient problem?

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Question 39

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Which of the following are use cases of generative adversarial networks?

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Question 40

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DRAG DROP

Match the input and output of a generative adversarial network (GAN).


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Total 60 questions
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