Assume that an input RGB image below is entering a Convolutional Neural Network: 4 6 5 4 3 1 2 4 2 6 1 2 3 5 4 8 1 1 2 72 1 1 8 4 7 0 2 2 6 1 3 3 4 4 2 3 3 2 7 1 5 7 053 3 1 7 8 3 5 2 2 3 1 |3 |1 2 17...

Don't give me copied answer...Assume that an input RGB image below is entering a Convolutional Neural Network:<br>4<br>6<br>5<br>4<br>3<br>1<br>2<br>4<br>2<br>6 1<br>2 3<br>5 4<br>8<br>1<br>1<br>2<br>72 1 1<br>8 4 7 0<br>2<br>2 6<br>1<br>3<br>3 4<br>4 2 3<br>3<br>2 7 1<br>5<br>7 053<br>3 1<br>7<br>8<br>3<br>5<br>2<br>2<br>3<br>1<br>|3 |1<br>2<br>17<br>3 2 0<br>3 4<br>4<br>3<br>6.<br>1 1<br>5 2<br>We use the following vertical edge filter to convolve with the image.<br>1<br>-1<br>1<br>-1<br>1<br>-1<br>-1<br>1<br>-1<br>1<br>-1<br>-1<br>1<br>-1<br>1<br>-1<br>If the padding size is 3 and the stride is also 3. The size of the output will be nxn where n is<br>

Extracted text: Assume that an input RGB image below is entering a Convolutional Neural Network: 4 6 5 4 3 1 2 4 2 6 1 2 3 5 4 8 1 1 2 72 1 1 8 4 7 0 2 2 6 1 3 3 4 4 2 3 3 2 7 1 5 7 053 3 1 7 8 3 5 2 2 3 1 |3 |1 2 17 3 2 0 3 4 4 3 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 -1 If the padding size is 3 and the stride is also 3. The size of the output will be nxn where n is

Jun 05, 2022
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