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...

Assume that an input RGB image below is entering a Convolutional Neural Network:<br>4<br>6<br>4 5<br>7<br>4<br>7<br>1<br>3<br>2<br>4<br>8<br>1<br>1<br>4 25<br>7 21 1<br>8 4 7 0<br>4 2 3<br>2<br>5<br>6 1<br>5 4<br>2 3 26<br>1<br>1<br>3<br>3 4<br>3 1<br>7<br>8<br>5<br>2 7 1<br>5<br>7 05 3<br>6.<br>2<br>1<br>|3 1<br>7<br>17<br>2 3 2 o<br>3 4<br>4<br>3<br>5<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>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 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

Jun 09, 2022

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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...

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