A neuron with 4 inputs has the weight vector w = [1,2,3,4] and a bias 0 = 0 (zero). The activation function is linear, where the constant of proportionality equals 2 - that is, the activation function is given by f(net) = 2xnet. If the input vector is x = [4,8,5,6] then the output of the neuron will be 59 118
A neuron with 4 inputs has the weight vector w = [1,2,3,4] and a bias 0 = 0 (zero). The activation function is linear, where the constant of proportionality equals 2 - that is, the activation function is given by f(net) = 2xnet. If the input vector is x = [4,8,5,6] then the output of the neuron will be 59 118
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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![A neuron with 4 inputs has the weight vector w = [1,2,3,4] and a bias 0 = 0 (zero). The activation
function is linear, where the constant of proportionality equals 2 - that is, the activation function is
given by f(net) = 2xnet. If the input vector is x = = [4,8,5,6] then the output of the neuron will be
59
118
112
56](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F7e7562c8-87f7-4ef4-b993-f6c04b5767a3%2F4bea70d7-b835-40a3-877a-4bf939c5646e%2F837bpk9_processed.jpeg&w=3840&q=75)
Transcribed Image Text:A neuron with 4 inputs has the weight vector w = [1,2,3,4] and a bias 0 = 0 (zero). The activation
function is linear, where the constant of proportionality equals 2 - that is, the activation function is
given by f(net) = 2xnet. If the input vector is x = = [4,8,5,6] then the output of the neuron will be
59
118
112
56
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