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Use backpropagation to train the first pattern of the binary logic AND function with (X1 = 1, X2 = 1, t = 1). By using a hidden layer consisting of two units of neurons. Use = 0.5 with the following initial weights:

Use backpropagation to train the first pattern of the binary logic AND function with (X1 = 1, X2 = 1, t = 1). By using a hidden layer consisting of two units of neurons. Use = 0.5 with the following initial weights:

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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Use backpropagation to train the first pattern of the binary logic AND function with (X1 = 1, X2 = 1, t = 1). By using a hidden layer consisting of two units of neurons. Use = 0.5 with the following initial weights: Z1 Z2 Y X1 -0.2 0.2 Z1 0.7 X2 0.2 -0.1 Z2 -0.2 1 -0.1 0.3 1 0.4 a. Draw the ANN(artificial neural network) model b. Do the training for the first pattern
Transcribed Image Text:Use backpropagation to train the first pattern of the binary logic AND function with (X1 = 1, X2 = 1, t = 1). By using a hidden layer consisting of two units of neurons. Use = 0.5 with the following initial weights: Z1 Z2 Y X1 -0.2 0.2 Z1 0.7 X2 0.2 -0.1 Z2 -0.2 1 -0.1 0.3 1 0.4 a. Draw the ANN(artificial neural network) model b. Do the training for the first pattern
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