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Consider the back propagation neural network as shown in figure 1, assume that the neurons have a logistic sigmoid activation function, do the following: a) Perform a forward pass on the network. b) Perform a reverse pass (training) once (target =1, x=1, n = 0.9) 0.1 ZI 0.3 0.9 W 0.7 W3 0.2 h W 0.55 0.4 W 0.55 W 0.5 h 0.4 W Z2 0.34 W, 0.2 Wo Figure 1

Consider the back propagation neural network as shown in figure 1, assume that the neurons have a logistic sigmoid activation function, do the following: a) Perform a forward pass on the network. b) Perform a reverse pass (training) once (target =1, x=1, n = 0.9) 0.1 ZI 0.3 0.9 W 0.7 W3 0.2 h W 0.55 0.4 W 0.55 W 0.5 h 0.4 W Z2 0.34 W, 0.2 Wo Figure 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 back propagation neural network as shown in figure 1, assume that the neurons have a logistic sigmoid activation function, do the following: a) Perform a forward pass on the network. b) Perform a reverse pass (training) once (target =1, x=1, n = 0.9) 0.1 ZI 0.3 0.9 W 0.7 W3 0.2 h W 0.55 0.4 W 0.55 W 0.5 h 0.4 W Z2 0.34 W, 0.2 Wo Figure 1
Transcribed Image Text:Consider the back propagation neural network as shown in figure 1, assume that the neurons have a logistic sigmoid activation function, do the following: a) Perform a forward pass on the network. b) Perform a reverse pass (training) once (target =1, x=1, n = 0.9) 0.1 ZI 0.3 0.9 W 0.7 W3 0.2 h W 0.55 0.4 W 0.55 W 0.5 h 0.4 W Z2 0.34 W, 0.2 Wo Figure 1
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