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i. How many different classes can this network classify? ii. Draw a diagram illustrating the regions corresponding to each class. Label each region with the corresponding network output. iii. Calculate the network output for the following input.

i. How many different classes can this network classify? ii. Draw a diagram illustrating the regions corresponding to each class. Label each region with the corresponding network output. iii. Calculate the network output for the following input.

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: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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E3.4 Consider the following perceptron network. Inputs Sym. Hard Limit Layer Р W = W RX1 n SXR (+) Sx1 b = b R Sx1 S a = hardlims (Wp+b) i. How many different classes can this network classify? ii. Draw a diagram illustrating the regions corresponding to each class. Label each region with the corresponding network output. iii. Calculate the network output for the following input. a Sx1 A
Transcribed Image Text:E3.4 Consider the following perceptron network. Inputs Sym. Hard Limit Layer Р W = W RX1 n SXR (+) Sx1 b = b R Sx1 S a = hardlims (Wp+b) i. How many different classes can this network classify? ii. Draw a diagram illustrating the regions corresponding to each class. Label each region with the corresponding network output. iii. Calculate the network output for the following input. a Sx1 A
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