A. A neural network that represent AND logic gate is shown in the figure. Train the neural network using Backpropagation Algorithm with the following parameters and write the final weights of the network. Learning rate 0.7 Number of epochs = 4 0.2 0.3 1 input 20 input <0 Activation Function for output neuron = -0.4 Logic ONE =1, Logic ZERO = -1

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
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Chapter1: Introduction
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.. A. A neural network that represent AND logic gate is shown in the figure. Train the neural
network using Backpropagation Algorithm with the following parameters and write the final
weights of the network.
Learning rate = 0.7
Number of epochs = 4
0.2
0.3
1 приt 20
-1 приt <0
X2
Activation Function for output neuron
-0.4
1
Logic ONE =1, Logic ZERO = -1
Transcribed Image Text:.. A. A neural network that represent AND logic gate is shown in the figure. Train the neural network using Backpropagation Algorithm with the following parameters and write the final weights of the network. Learning rate = 0.7 Number of epochs = 4 0.2 0.3 1 приt 20 -1 приt <0 X2 Activation Function for output neuron -0.4 1 Logic ONE =1, Logic ZERO = -1
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