Assume that an input RGB image below is entering a Convolutional Neural Network: 4 6 4 5 7 4 7 3 1 1 3 2 8 4 7 0 2 28 1 1 204 2 5 5 17 2 1 1 3 3 6. 2. 2. 5. 9.

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Chapter1: Introduction
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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
3
2
4
8
1
1
4 25
7 21 1
8 4 7 0
4 2 3
2
5
6 1
5 4
2 3 26
1
1
3
3 4
3 1
7
8
5
2 7 1
5
7 05 3
6.
2
1
|3 1
7
17
2 3 2 o
3 4
4
3
5
6.
1 1
5 2
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 3 2 4 8 1 1 4 25 7 21 1 8 4 7 0 4 2 3 2 5 6 1 5 4 2 3 26 1 1 3 3 4 3 1 7 8 5 2 7 1 5 7 05 3 6. 2 1 |3 1 7 17 2 3 2 o 3 4 4 3 5 6. 1 1 5 2 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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