A 3x3 kernel is sliding across a color image (3 channel image). At the current position the kernel stopped at a patch of pixels with the following values for the three channels: 1 2 1 1 5 2 1 0 1 0 2 0 1 1 1 0 4 0 2 0 2 1 0 1 0 2 0 The kernel is defined as follows for the three channels (same for every channel): -1 0 -1 1 1 1 0 1 0 -1 0 -1 1 1 1 0 1 0 -1 0 -1 1 1 1 0 1 0 Compute the value that will go into the feature map for this convolution operation.

A 3x3 kernel is sliding across a color image (3 channel image). At the current position the kernel stopped at a patch of pixels with the following values for the three channels: 1 2 1 1 5 2 1 0 1 0 2 0 1 1 1 0 4 0 2 0 2 1 0 1 0 2 0 The kernel is defined as follows for the three channels (same for every channel): -1 0 -1 1 1 1 0 1 0 -1 0 -1 1 1 1 0 1 0 -1 0 -1 1 1 1 0 1 0 Compute the value that will go into the feature map for this convolution operation.

Systems Architecture

7th Edition

ISBN:9781305080195

Author:Stephen D. Burd

Publisher:Stephen D. Burd

Chapter7: Input/output Technology

Section: Chapter Questions

Problem 3RP

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