me that an input RGB Image below is entering utional Neural 4 7 1 1 2 8. 4 2 2 1. 2 1 2 3 4 1 3 6. 2 6 1 1 1 4 8. 4 2 3 1 3 8 0 3 5 3 2 7 1 705 4 2 6 2 7 3 1 1 5 2 7 2 7 3 5 6 0 2 3 2 1 1 5 2 3 3 1 2 4 3 1 4 Ve use the following vertical edge filter to convolve with the image. 1 -1 1 -1 1 -1 -1 -1 1 -1 1 -1 -1 1 1 -1 f the padding size is 3 and the stride is also 3. The size of the output will be nxn wheren is

Computer Networking: A Top-Down Approach (7th Edition)
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Author:James Kurose, Keith Ross
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Chapter1: Computer Networks And The Internet
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Assume that an input RGB image below is entering a Convolutional Neural Network:
4
6
4 5
7
4
7
1
2
8.
2
6 1
2 3 2 6
5 4
4
8
1
2 5
721 1
8 4 7 0
4 2 3
5
1
1
3
3 4
3 1
7
5
2 7 1
6.
2
3
1
5
7 05 3
3 1
7
3 5
17
2 3 2 0
5 2 3 4
4
3
6.
1 1
We use the following vertical edge filter to convolve with the image.
1
-1
1
-1
1
-1
-1
-1
1
-1
-1
1
-1
1
-1
If the padding size is 3 and the stride is also 3. The size of the output will be nxn where n is
Transcribed Image Text:Assume that an input RGB image below is entering a Convolutional Neural Network: 4 6 4 5 7 4 7 1 2 8. 2 6 1 2 3 2 6 5 4 4 8 1 2 5 721 1 8 4 7 0 4 2 3 5 1 1 3 3 4 3 1 7 5 2 7 1 6. 2 3 1 5 7 05 3 3 1 7 3 5 17 2 3 2 0 5 2 3 4 4 3 6. 1 1 We use the following vertical edge filter to convolve with the image. 1 -1 1 -1 1 -1 -1 -1 1 -1 -1 1 -1 1 -1 If the padding size is 3 and the stride is also 3. The size of the output will be nxn where n is
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