I need help to solve problem Manually fit a linear function h_(\theta )(vec(x))=vec(\theta )^(T)*vec(x) based on the following training instances using the stochastic gradient descent algorithm. The initial values of parameters are \theta _(0)=0.1,\theta _(1)=0.1,\theta _(2)=0.1. The learning rate \alpha is 0.1. Please update each parameter at least five times.X_1,X_2,Y 0 0 20 1 31 0 31 1 4
I need help to solve problem Manually fit a linear function h_(\theta )(vec(x))=vec(\theta )^(T)*vec(x) based on the following training instances using the stochastic gradient descent algorithm. The initial values of parameters are \theta _(0)=0.1,\theta _(1)=0.1,\theta _(2)=0.1. The learning rate \alpha is 0.1. Please update each parameter at least five times.X_1,X_2,Y 0 0 20 1 31 0 31 1 4
Operations Research : Applications and Algorithms
4th Edition
ISBN:9780534380588
Author:Wayne L. Winston
Publisher:Wayne L. Winston
Chapter12: Review Of Calculus And Probability
Section12.5: Random Variables, Mean, Variance, And Covariance
Problem 5P
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I need help to solve problem
Manually fit a linear function h_(\theta )(vec(x))=vec(\theta )^(T)*vec(x) based on the following training instances using the stochastic gradient descent
X_1,X_2,Y
0 0 2
0 1 3
1 0 3
1 1 4
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