In one of convolutional layers a ConvNet, the input has the size of 68x62x32, and you convolve it with 64 filters with the filter size of 5, stride of 3 and padding size of 1. What is the size of the output of this layer?

In one of convolutional layers a ConvNet, the input has the size of 68x62x32, and you convolve it with 64 filters with the filter size of 5, stride of 3 and padding size of 1. What is the size of the output of this layer?

Systems Architecture

7th Edition

ISBN:9781305080195

Author:Stephen D. Burd

Publisher:Stephen D. Burd

Chapter7: Input/output Technology

Section: Chapter Questions

Problem 19VE

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In one of convolutional layers a ConvNet, the input has the size of 68x62x32, and you convolve it with 64 filters with the filter size of 5, stride of 3 and padding size of 1. What is
the size of the output of this layer?

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The Issue: You're writing a graphics filter that runs each picture through a filter. Each pixel is specified as a triplet of real numbers (R,G,B) ranging from 0 to 255. To do their task, the filtering algorithms must operate on actual numbers. However, when you examine the software, you will notice that they only require two digits of accuracy. Any extra digits are unnecessary.
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