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Assume that an input RGB image below is entering a Convolutional Neural Network: 4 6. 4 7 4 7 3 1 1 3 2 8 4 7 0 2 [2 0 4 2 5 552 2 8 1 1 |1 7 2 1 1 36 1 2 3 2 6 |084 7 0o25 4 1 3 3 4 3 8 03 5 34 2 3 3 1 7 |2 7 3 1 1 5 2 7 1 4 2 6 2 72 7 02 7 0 | 5 |3 |3 1 |4 3 3 5 1 7 6 02 3 2 0 152 3. 4

Assume that an input RGB image below is entering a Convolutional Neural Network: 4 6. 4 7 4 7 3 1 1 3 2 8 4 7 0 2 [2 0 4 2 5 552 2 8 1 1 |1 7 2 1 1 36 1 2 3 2 6 |084 7 0o25 4 1 3 3 4 3 8 03 5 34 2 3 3 1 7 |2 7 3 1 1 5 2 7 1 4 2 6 2 72 7 02 7 0 | 5 |3 |3 1 |4 3 3 5 1 7 6 02 3 2 0 152 3. 4

Database System Concepts
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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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
Transcribed Image 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
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