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MMLU-Pro / 10570 / Consider Convolutional Neural Network D2 which takes input images of size 32x32…

Problem

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question

Consider Convolutional Neural Network D2 which takes input images of size 32x32 with 1 colour channels. The first layer of D2 uses 4 filters of size 5x5, a stride of 2, and zero-padding of width 1. Consider CNN D2 which takes input images of size 32x32 with 1 colour channels. The first layer of D2 uses 4 filters of size 5x5, a stride of 2, and zero-padding of width 1. What is the total number of weights defined for the entire activation output of this first layer? (ie. If you flattened all filters and channels into a single vector)

category

computer science

options

  1. 1200
  2. 500
  3. 1300
  4. 1040
  5. 1100
  6. 600
  7. 900
  8. 1000
  9. 700
  10. 800

src

theoremQA-EECS

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Source and history

upstream_id / Original problem ID
10570
task_id
2f3e1fcd-c8ec-5e01-9247-6291901ded40
task_key
default--test--10570
task_revision_id
1
config / split
default / test

Official source

initial import