Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN: 9780133594140
Author: James Kurose, Keith Ross
Publisher: PEARSON
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Assignment 5:
1. Explain the perceptron algorithm.
2. Identify and describe ten applications of neural networks.
3. How artificial neural network resembles brain?
4. Discuss the advantages of neural networks over conventional
computers.
s. Discuss the advantages and disadvantages of neural network.
6. Describe the main components of artificial neural networks.
7. Compare the performance of a computer and that of a biological
neural network in terms of speed of processing, size and
complexity, storage, fault tolerance and control mechanism.
8. Explain the missing features in the McCulloch-Pitts neuron
model.
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Transcribed Image Text:Assignment 5: 1. Explain the perceptron algorithm. 2. Identify and describe ten applications of neural networks. 3. How artificial neural network resembles brain? 4. Discuss the advantages of neural networks over conventional computers. s. Discuss the advantages and disadvantages of neural network. 6. Describe the main components of artificial neural networks. 7. Compare the performance of a computer and that of a biological neural network in terms of speed of processing, size and complexity, storage, fault tolerance and control mechanism. 8. Explain the missing features in the McCulloch-Pitts neuron model.
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