There can be more than one hidden layer in a neural network O True O False
There can be more than one hidden layer in a neural network O True O False
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
![**Question: There can be more than one hidden layer in a neural network**
- ○ True
- ○ False
**Explanation:**
Neural networks can indeed have multiple hidden layers. Such networks are often referred to as "deep neural networks." Each hidden layer allows the network to learn more complex patterns by extracting features at various levels of abstraction. This is a fundamental concept in deep learning, where increasing the number of hidden layers and units within those layers can improve the network's ability to model intricate data.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F729479f6-1c19-463a-a537-8081d0281230%2F3f0a58ed-3dfc-4989-bb38-9e9aadff71a5%2Fiq0tck_processed.png&w=3840&q=75)
Transcribed Image Text:**Question: There can be more than one hidden layer in a neural network**
- ○ True
- ○ False
**Explanation:**
Neural networks can indeed have multiple hidden layers. Such networks are often referred to as "deep neural networks." Each hidden layer allows the network to learn more complex patterns by extracting features at various levels of abstraction. This is a fundamental concept in deep learning, where increasing the number of hidden layers and units within those layers can improve the network's ability to model intricate data.
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