a) Choose the correct statement. 1 - A larger kernel is preferred for information that resides globally, and a smaller kernel is preferred for information that is distributed locally. 2 - A larger kernel is preferred for information that resides locally, and a smaller kernel is preferred for information that is distributed globally.
a) Choose the correct statement. 1 - A larger kernel is preferred for information that resides globally, and a smaller kernel is preferred for information that is distributed locally. 2 - A larger kernel is preferred for information that resides locally, and a smaller kernel is preferred for information that is distributed globally.
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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Question
![a) Choose the correct statement.
1 - A larger kernel is preferred for information that resides globally, and a smaller kernel is preferred for information that is distributed locally.
2- A larger kernel is preferred for information that resides locally, and a smaller kernel is preferred for information that is distributed globally.
b) In the following network, how many learnable parameters (weights) are there?
In [9]:
model nn.Sequential(
)
nn.Linear(3,20),
nn. ReLU(),
nn.Linear(20,2)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F417ee982-87ed-4e1f-94db-68b13e8bd256%2Fbdfdb401-b0db-456f-8c98-927888893b05%2F4rxzlhr_processed.jpeg&w=3840&q=75)
Transcribed Image Text:a) Choose the correct statement.
1 - A larger kernel is preferred for information that resides globally, and a smaller kernel is preferred for information that is distributed locally.
2- A larger kernel is preferred for information that resides locally, and a smaller kernel is preferred for information that is distributed globally.
b) In the following network, how many learnable parameters (weights) are there?
In [9]:
model nn.Sequential(
)
nn.Linear(3,20),
nn. ReLU(),
nn.Linear(20,2)
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