A neuron with 4 inputs has the weight vector w = [1; 2; 3; 4] and a bias, 0 = 0 (zero). The activation function given is f(net) = 2 * net. If the input vector is x = [4; 8; 5; 6], what will the output of the neuron be? Assume that you want to build a solution by using the following network. The input for x 1 = 3 and x 2 = 2.5. The weight for the first layer is given which is 0.5 and second layer is 0.3. Calculate the possible output by using the summation function.

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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1. A neuron with 4 inputs has the weight vector w = [1; 2; 3; 4] and a bias, 0 = 0 (zero). The
activation function given is f(net) = 2 * net. If the input vector is x = [4; 8; 5; 6], what will the
output of the neuron be?
2. Assume that you want to build a solution by using the following network. The input for x 1 =
3 and x 2 = 2.5. The weight for the first layer is given which is 0.5 and second layer is 0.3.
Calculate the possible output by using the summation function.
Transcribed Image Text:1. A neuron with 4 inputs has the weight vector w = [1; 2; 3; 4] and a bias, 0 = 0 (zero). The activation function given is f(net) = 2 * net. If the input vector is x = [4; 8; 5; 6], what will the output of the neuron be? 2. Assume that you want to build a solution by using the following network. The input for x 1 = 3 and x 2 = 2.5. The weight for the first layer is given which is 0.5 and second layer is 0.3. Calculate the possible output by using the summation function.
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