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. it'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

Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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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
Transcribed Image Text: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
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