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Mathematics, 27.03.2021 14:00 anisa9231
In Advanced Machine Learning
We investigate a CNN composed of three convolution layers: kernel = 3 × 3, stride = 2, padding = same. The lowest layer outputs 100 feature maps, the middle layer 200 feature maps and the highest layer 400 feature maps. The input is a 200 × 300 RGB image. Then:
1 How many parameters does the first layer contain?
A2700
B2800
C3200
D6400
2 How many parameters does the second layer contain?
A180200
B180000
C360000
D184000
3 How many parameters does the third layer contain?
A720000
B720400
C722400
D1440000
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In Advanced Machine Learning
We investigate a CNN composed of three convolution layers: kernel = 3...
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