Q3. By using XOR problem truth table calculate the output for 3 neurons ,then construct the completed decision boundary of network output of inputs i1 and i2, where each neuron uses threshold function as an activation function to point out the level 0 and 1? The attributes values are given below, where w11,w12, w21, w22, w31 and w32 are the weights values and b1, b2 and b3 are the bias values ? W11 = -1 w12= 2 bı= - 0.5 W21 = -2 w22 = -1 b2= 1.5 W31 = 1 w32 = -2 b3= 0.5

Computer Networking: A Top-Down Approach (7th Edition)
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ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
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Q3. By using XOR problem truth table calculate the output for 3 neurons ,then construct the
completed decision boundary of network output of inputs i1 and i2, where each neuron uses
threshold function as an activation function to point out the level 0 and 1? The attributes
values are given below, where w11,w12, w21, w22, w31 and w32 are the weights values
and b1 , b2 and b3 are the bias values ?
Wi1= -1 w12= 2
bı= - 0.5
W21 = -2 w22= -1
b2= 1.5
W31 = 1 w32 = -2
b3= 0.5
Transcribed Image Text:Q3. By using XOR problem truth table calculate the output for 3 neurons ,then construct the completed decision boundary of network output of inputs i1 and i2, where each neuron uses threshold function as an activation function to point out the level 0 and 1? The attributes values are given below, where w11,w12, w21, w22, w31 and w32 are the weights values and b1 , b2 and b3 are the bias values ? Wi1= -1 w12= 2 bı= - 0.5 W21 = -2 w22= -1 b2= 1.5 W31 = 1 w32 = -2 b3= 0.5
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