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updated gradient descend exercise

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Jan Benda 2019-12-10 10:00:20 +01:00
parent 39a1e51bc4
commit a8afe6b020
1 changed files with 3 additions and 2 deletions
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regression/exercises/exercises01.tex
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@ -20,7 +20,7 @@
\else \else
\newcommand{\stitle}{} \newcommand{\stitle}{}
\fi \fi
\header{{\bfseries\large Exercise 10\stitle}}{{\bfseries\large Gradient descent}}{{\bfseries\large December 17th, 2018}} \header{{\bfseries\large Exercise 10\stitle}}{{\bfseries\large Gradient descent}}{{\bfseries\large December 16th, 2019}}
\firstpagefooter{Dr. Jan Grewe}{Phone: 29 74588}{Email: \firstpagefooter{Dr. Jan Grewe}{Phone: 29 74588}{Email:
jan.grewe@uni-tuebingen.de} jan.grewe@uni-tuebingen.de}
\runningfooter{}{\thepage}{} \runningfooter{}{\thepage}{}
@ -121,7 +121,8 @@
\part Use the functions \code{polyfit()} and \code{lsqcurvefit()} \part Use the functions \code{polyfit()} and \code{lsqcurvefit()}
provided by matlab to find the slope and intercept of a straight provided by matlab to find the slope and intercept of a straight
line that fits the data. line that fits the data. Compare the resulting fit parameters of
those functions with the ones of your gradient descent algorithm.
\begin{solution} \begin{solution}
\lstinputlisting{../code/linefit.m} \lstinputlisting{../code/linefit.m}
\end{solution} \end{solution}