2. Apply the back propagation algorithm for the given layer network. Calculate the value of error signal in the given MLP were xl = 1.5, x2 = -2.3, wl=1, w2 = -2.8, w3 = -1.6, w4 = 2, br= -1 and sigmoid as activation function for each neuron. N N Output N
2. Apply the back propagation algorithm for the given layer network. Calculate the value of error signal in the given MLP were xl = 1.5, x2 = -2.3, wl=1, w2 = -2.8, w3 = -1.6, w4 = 2, br= -1 and sigmoid as activation function for each neuron. N N Output N
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...
Related questions
Question
![2. Apply the back propagation algorithm for the given layer network. Calculate the value of
error signal in the given MLP were xl = 1.5, x2 = -2.3, wl=1, w2 = -2.8, w3 = -1.6, w4 =
2, bk= -1 and sigmoid as activation function for each neuron.
N
Output
N](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F24bce624-2109-41c4-96e3-247fd90d55f6%2F98652f66-670f-4a59-ae4f-d236911726fb%2Fb5qm6kn_processed.png&w=3840&q=75)
Transcribed Image Text:2. Apply the back propagation algorithm for the given layer network. Calculate the value of
error signal in the given MLP were xl = 1.5, x2 = -2.3, wl=1, w2 = -2.8, w3 = -1.6, w4 =
2, bk= -1 and sigmoid as activation function for each neuron.
N
Output
N
![1. Solve the AND problem for multi-layer perceptron and apply each neuron threshold as
activation function.
Output
N
N
Input layer
hidden layer
Output layer
2. Apply the back propagation algorithm for the given layer network. Calculate the value of
error signal in the given MLP were x1 = 1.5, x2 = -2.3, wl=1, w2 = -2.8, w3 = -1.6, w4 :](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F24bce624-2109-41c4-96e3-247fd90d55f6%2F98652f66-670f-4a59-ae4f-d236911726fb%2Fasjz58p_processed.png&w=3840&q=75)
Transcribed Image Text:1. Solve the AND problem for multi-layer perceptron and apply each neuron threshold as
activation function.
Output
N
N
Input layer
hidden layer
Output layer
2. Apply the back propagation algorithm for the given layer network. Calculate the value of
error signal in the given MLP were x1 = 1.5, x2 = -2.3, wl=1, w2 = -2.8, w3 = -1.6, w4 :
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