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Suppose you have an input volume of dimension nH x nW x nC. Which of the following statement(s) is correct? (Assume that the "1x1 convolutional layer" below always uses a stride of 1 and no padding.) O You can use a 1x1 convolutional layer to reduce nH, nW, but not nC. O You can use a pooling layer to reduce nH, nW, but not nC. O You can use a 1x1 convolutional layer to reduce nH, nW, and nC. O You can use a pooling layer to reduce nH, nW, and nC.

Suppose you have an input volume of dimension nH x nW x nC. Which of the following statement(s) is correct? (Assume that the "1x1 convolutional layer" below always uses a stride of 1 and no padding.) O You can use a 1x1 convolutional layer to reduce nH, nW, but not nC. O You can use a pooling layer to reduce nH, nW, but not nC. O You can use a 1x1 convolutional layer to reduce nH, nW, and nC. O You can use a pooling layer to reduce nH, nW, and nC.

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
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Suppose you have an input volume of dimension nH x nW x nC. Which of the following statement(s) is correct? (Assume that the "1x1 convolutional layer" below always uses a stride of 1 and no padding.) O You can use a 1x1 convolutional layer to reduce nH, nW, but not nC. O You can use a pooling layer to reduce nH, nW, but not nC. O You can use a 1x1 convolutional layer to reduce nH, nW, and nC. O You can use a pooling layer to reduce nH, nW, and nC.
Transcribed Image Text:Suppose you have an input volume of dimension nH x nW x nC. Which of the following statement(s) is correct? (Assume that the "1x1 convolutional layer" below always uses a stride of 1 and no padding.) O You can use a 1x1 convolutional layer to reduce nH, nW, but not nC. O You can use a pooling layer to reduce nH, nW, but not nC. O You can use a 1x1 convolutional layer to reduce nH, nW, and nC. O You can use a pooling layer to reduce nH, nW, and nC.
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