Assume that an input RGB image below is entering a Convolutional Neural Network: 0 46 4 5 7 |4 7 3 1 1 3 2 8 4 7 0 2 2 0 4 2 |5 55 2 2 8 1 1 | |1 7 2 1 1 3 6 1 2 3 2 6 |084 7 0 2 5 4 1 |3 3 4 4 2 3 3 1 7 38 03 5 3 |2 7 3 1 1 5 2 7 1 4 2 6 |2 7 2 7 0 2 7 |0 |5 3 3 1 4 3 3 5 1 7 602 3 20
Assume that an input RGB image below is entering a Convolutional Neural Network: 0 46 4 5 7 |4 7 3 1 1 3 2 8 4 7 0 2 2 0 4 2 |5 55 2 2 8 1 1 | |1 7 2 1 1 3 6 1 2 3 2 6 |084 7 0 2 5 4 1 |3 3 4 4 2 3 3 1 7 38 03 5 3 |2 7 3 1 1 5 2 7 1 4 2 6 |2 7 2 7 0 2 7 |0 |5 3 3 1 4 3 3 5 1 7 602 3 20
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Transcribed Image Text:Assume that an input RGB image below is entering a Convolutional Neural Network:
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We use the following vertical edge filter to convolve with the image.
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If the padding size is 3 and the stride is also 3. The size of the output will be nxn where n is
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