Neural networks have .computers because a lot of rerage, neural networks have H

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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Neural networks can be
Lon a conventional computer
Neural networks have
rates than conventional
.computers because a lot of the operation is done in parallel
On average, neural networks have higher computational rates than
.computers,
the advantages of neural networks over conventional computers
They have the.
to learn by example They are more fault
tolerant They are more suited for
due to their high
.computational rates
The idea behind neural nets is
Lon the way the human
.brain works
.In the neural network Each node
Lit's weighted input
The back propagation It is the
back through
the network to allow weights to be adjusted so that the network can
learn
Neural networks learn by
. mimic the way the human brain works_
The
depends on the size of the network
Transcribed Image Text:Neural networks can be Lon a conventional computer Neural networks have rates than conventional .computers because a lot of the operation is done in parallel On average, neural networks have higher computational rates than .computers, the advantages of neural networks over conventional computers They have the. to learn by example They are more fault tolerant They are more suited for due to their high .computational rates The idea behind neural nets is Lon the way the human .brain works .In the neural network Each node Lit's weighted input The back propagation It is the back through the network to allow weights to be adjusted so that the network can learn Neural networks learn by . mimic the way the human brain works_ The depends on the size of the network
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