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Consider the two-layer perceptron, configured as pictured, with the weights and bias as ndicated. The activation function here is binary: if the weighted sum of the inputs is less than 0, then the activation is 0, and if the weighted sum of the inputs is greater than 0, then the activation is 1. Which elementary logic gate is this two-layer perceptron implementing? a1 Inputs NOT X1 X1 Bias 1 X2 x1 OR X2 x1 AND x2 x1 XOR X2 +1 +1 -2 -2 -2 Bias 1 a2 -1 -1 0 y Output: If sum<0: y=0 Else: y=1

Consider the two-layer perceptron, configured as pictured, with the weights and bias as ndicated. The activation function here is binary: if the weighted sum of the inputs is less than 0, then the activation is 0, and if the weighted sum of the inputs is greater than 0, then the activation is 1. Which elementary logic gate is this two-layer perceptron implementing? a1 Inputs NOT X1 X1 Bias 1 X2 x1 OR X2 x1 AND x2 x1 XOR X2 +1 +1 -2 -2 -2 Bias 1 a2 -1 -1 0 y Output: If sum<0: y=0 Else: y=1

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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Consider the two-layer perceptron, configured as pictured, with the weights and bias as indicated. The activation function here is binary: if the weighted sum of the inputs is less than 0, then the activation is 0, and if the weighted sum of the inputs is greater than 0, then the activation is 1. Which elementary logic gate is this two-layer perceptron implementing? a1 Inputs NOT X1 X1 Bias 1 x2 x1 OR X2 x1 AND x2 x1 XOR X2 +1 +1 -2 -2 -2 Bias 1 a2 -1 -1 0 y Output: If sum<0: y=0 Else: y=1
Transcribed Image Text:Consider the two-layer perceptron, configured as pictured, with the weights and bias as indicated. The activation function here is binary: if the weighted sum of the inputs is less than 0, then the activation is 0, and if the weighted sum of the inputs is greater than 0, then the activation is 1. Which elementary logic gate is this two-layer perceptron implementing? a1 Inputs NOT X1 X1 Bias 1 x2 x1 OR X2 x1 AND x2 x1 XOR X2 +1 +1 -2 -2 -2 Bias 1 a2 -1 -1 0 y Output: If sum<0: y=0 Else: y=1
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