Calculate the (1) feature map, (2) reduced feature map,
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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![Consider the following 6x6 input matrix, 3x3 convolutional filter, 2x2 max pooling, and
ReLU function as shown below.
Calculate the (1) feature map, (2) reduced feature map,
8 2
OOOH
703 O
0
0
1
0
6
3 1
0 1 2
0
1 3
4 1 1
800
0 1 2 54
1| 1 0 4 02
6x6 Input Matrix
1 1 0
0
1 1
000
?
and (3) final feature map.
?
3x3 Filter Feature Map 2x2 (Reduced (ReLU)
Max pooling Feature Map)
?
(Final
Feature Map)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fd11d628f-9307-4e35-a3d8-39c87908ca4f%2F97dc258a-d959-4f26-84e1-fdba6fc8404a%2F4s3ec0n_processed.png&w=3840&q=75)
Transcribed Image Text:Consider the following 6x6 input matrix, 3x3 convolutional filter, 2x2 max pooling, and
ReLU function as shown below.
Calculate the (1) feature map, (2) reduced feature map,
8 2
OOOH
703 O
0
0
1
0
6
3 1
0 1 2
0
1 3
4 1 1
800
0 1 2 54
1| 1 0 4 02
6x6 Input Matrix
1 1 0
0
1 1
000
?
and (3) final feature map.
?
3x3 Filter Feature Map 2x2 (Reduced (ReLU)
Max pooling Feature Map)
?
(Final
Feature Map)
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