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SAS Exam A00-405 Topic 9 Question 66 Discussion

Actual exam question for SAS's A00-405 exam
Question #: 66
Topic #: 9
[All A00-405 Questions]

Given the code specifying the three initial layers of a convolutional network:

What is the size of me output tensor (image) ot pool?

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Suggested Answer: A

by Dorothea at Aug 27, 2024, 12:48 PM

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Elliot
10 months ago
I think the correct answer is 4*4 based on the code provided.
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Dusti
10 months ago
Alright, let's do this! Okay, I've crunched the numbers, and I'm pretty sure the answer is 8*8. Although, I have to admit, I'm a little disappointed that none of the options include 7*7. That would have really thrown me for a loop!
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Rosita
10 months ago
I'm not sure, but I think it might be 10*10.
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Maxima
10 months ago
Hah, this question is a real brainteaser! I'm gonna have to go with 8*8 on this one. After all, who wants to be the sucker that picks 10*10 and gets it wrong? Not this guy, that's for sure. Although, if I'm being honest, I'm kind of hoping someone else goes with 4*4 just so I can have a good laugh.
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Kaycee
10 months ago
Yeah, I agree. 8*8 makes sense based on the code provided.
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Fausto
10 months ago
I think it's 8*8 too. Seems like the most logical choice.
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Merilyn
10 months ago
I believe it's 5*5 because of the pooling layer.
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Serina
10 months ago
I'm going with option C, 8*8. The math checks out, and it makes the most sense given the information provided. Though, I have to say, the person who wrote this question must have been feeling a bit cheeky. 10*10? Really? What is this, amateur hour?
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Lynna
10 months ago
Hmm, let me think about this. The input image is 28*28, and the first convolutional layer has 6 filters of size 5*5 with a stride of 1, which should give us a 24*24 feature map. Then, the max pooling layer with a 2*2 window and stride of 2 should give us a 12*12 output. Not sure why the question mentions 10*10, though.
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Lonny
10 months ago
I think the output tensor size is 8*8. The max pooling layer with a 2x2 window and stride of 2 should reduce the spatial dimensions by half, resulting in an 8*8 output.
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Marva
9 months ago
I'm not sure, but I think it's 10*10.
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Levi
10 months ago
I agree, it should be 8*8 after the max pooling operation.
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Miss
10 months ago
I agree with the first user, it should be 8*8.
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Louis
10 months ago
I think it's 5*5 because of the max pooling layer.
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Shoshana
10 months ago
I believe the output tensor size is 8*8.
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Noe
10 months ago
I think it's 5*5.
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Shayne
10 months ago
I believe the output tensor size is 8*8.
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Daniela
10 months ago
I think the size of the output tensor is 8*8.
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