B) What is CNNs? What are the CNNs Layers? Assume an input image size = 39 X 39 X 3 for a What is the output dimensions after convolving the input image with 11 filters of size 3 X 3, and take the stride as 1 and no padding and when padding =1?

Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Q2) A) perform the convolution operator using two the types of padding valid and same on the image A
using the 3*3 mask which is stated below. State the ways that can be used to normlize the image A in the
rang[0 1] and apply one of them to Image A.
3*3 Mask
Image A
0
1/6 0
50
80 60
1/6
1/3 1/6
255
70 0
0
1/6 0
45
80 100
B) What is CNNs? What are the CNNs Layers? Assume an input image size = 39 X 39 X 3 for a CNN layer.
What is the output dimensions after convolving the input image with 11 filters of size 3 X 3, and take the
stride as 1 and no padding and when padding=1?
نظيف واحد
Transcribed Image Text:Q2) A) perform the convolution operator using two the types of padding valid and same on the image A using the 3*3 mask which is stated below. State the ways that can be used to normlize the image A in the rang[0 1] and apply one of them to Image A. 3*3 Mask Image A 0 1/6 0 50 80 60 1/6 1/3 1/6 255 70 0 0 1/6 0 45 80 100 B) What is CNNs? What are the CNNs Layers? Assume an input image size = 39 X 39 X 3 for a CNN layer. What is the output dimensions after convolving the input image with 11 filters of size 3 X 3, and take the stride as 1 and no padding and when padding=1? نظيف واحد
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