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...

Extracted 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