Suppose we are using gradient descent to learn linear regression. The hypothesis is ho(x) = 00 + 01x. The initial values are 0g = 1.0, = 2. and the learning rate is 0.5. Suppose we have one data exmaple (10, 5) and use only this data example to update the mo a) After the first step update, what is 0o and 01, respectively? b) After the second step update. what is 0o and 01. respectively?

Suppose we are using gradient descent to learn linear regression. The hypothesis is ho(x) = 00 + 01x. The initial values are 0g = 1.0, = 2. and the learning rate is 0.5. Suppose we have one data exmaple (10, 5) and use only this data example to update the mo a) After the first step update, what is 0o and 01, respectively? b) After the second step update. what is 0o and 01. respectively?

Operations Research : Applications and Algorithms

4th Edition

ISBN:9780534380588

Author:Wayne L. Winston

Publisher:Wayne L. Winston

Chapter24: Forecasting Models

Section: Chapter Questions

Problem 10RP

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