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A00-405 – SAS Viya 3.5 Natural Language Processing and Computer Vision

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Showing 1–3 of 10 questions

Question 1

DRAG DROP

("Note: This is an interactive item Follow the instructions to answer the question Scroll bars may appear it the windows are too smart Each window can be resized by

dragging on the 5 circles located between windows)

You are building a CNN for an image classification task

Drag the layers on the left to the slots on the right in the appropriate order (from top to bottom) for this task

You have the number of layers listed below

• Input Layer (1)

• Output Layer (1)

• Convolutional Layer (1)

• Fully Connected Layer(2>

• Pooling Layer(1)

Answer is in the explanation below.

Question 2

What are two reasons to use a pooling layer in a Convolution Neural Network (CNN)?

(Choose two)

Select all that apply, then click Submit answer.

  • ○

    to increase granularity of information

  • ○

    to make the feature map invariant to transformation

  • ○

    to extract features of different spatial scale

  • ○

    to extract a summarized value from an area of the image


Question 3

Refer to the exhibit.

Which statements are TRUE? (Choose two)

Select all that apply, then click Submit answer.

  • ○

    More proper nouns terms than the pronouns terms are kept

  • ○

    There are 9 concepts in total

  • ○

    There are 2 custom concepts

  • ○

    Most preposition terms are kept