D Given an input volumn 32*56*56 (32 channels, image is 56*56), if we do 1*1 convolution with 8 filters, what's the output volumn? O 8 28 28 O 8*56 56 O 16 56 56 O 16 28 28 Assume the input volume of an image is 227x227x3 (channel is 3), if we apply 16 12x12 filters, how many parameters? O 16*12*12 O 3*16*12*12 O 3*12*12 O 227*227*3*16 Suppose we have a feature map with 30X30 pixels. After maxpooling with 2X2 kernel, what size of feature map will it be changed to? O 10X10 ο ο ο ο O 15X15 O 30X30 O 28X28
D Given an input volumn 32*56*56 (32 channels, image is 56*56), if we do 1*1 convolution with 8 filters, what's the output volumn? O 8 28 28 O 8*56 56 O 16 56 56 O 16 28 28 Assume the input volume of an image is 227x227x3 (channel is 3), if we apply 16 12x12 filters, how many parameters? O 16*12*12 O 3*16*12*12 O 3*12*12 O 227*227*3*16 Suppose we have a feature map with 30X30 pixels. After maxpooling with 2X2 kernel, what size of feature map will it be changed to? O 10X10 ο ο ο ο O 15X15 O 30X30 O 28X28
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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![Given an input volumn 32*56*56 (32 channels, image is 56*56), if we do 1*1 convolution with 8 filters, what's the output volumn?
O 8*28*28
O 8*56*56
O 16*56*56
O 16*28*28
Assume the input volume of an image is 227x227x3 (channel is 3), if we apply 16 12x12 filters, how many parameters?
O 16*12*12
O 3*16*12*12
O 3*12*12
O 227*227*3*16
Suppose we have a feature map with 30X30 pixels. After maxpooling with 2X2 kernel, what size of feature map will it be changed to?
O 10X10
O 15X15
O 30X30
O28X28](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F90d81768-eabc-4b78-989b-7e94a77a8547%2F160959d9-2527-4cb5-8b6a-23dab480243c%2Fyt0uux_processed.png&w=3840&q=75)
Transcribed Image Text:Given an input volumn 32*56*56 (32 channels, image is 56*56), if we do 1*1 convolution with 8 filters, what's the output volumn?
O 8*28*28
O 8*56*56
O 16*56*56
O 16*28*28
Assume the input volume of an image is 227x227x3 (channel is 3), if we apply 16 12x12 filters, how many parameters?
O 16*12*12
O 3*16*12*12
O 3*12*12
O 227*227*3*16
Suppose we have a feature map with 30X30 pixels. After maxpooling with 2X2 kernel, what size of feature map will it be changed to?
O 10X10
O 15X15
O 30X30
O28X28
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