Master-DataScience-Notes/1year/3trimester/Machine Learning, Statistical Learning, Deep Learning and Artificial Intelligence/Machine Learning/Notes/lectures/lecture16.aux

\relax 
\@nameuse{bbl@beforestart}
\babel@aux{english}{}
\@writefile{toc}{\contentsline {chapter}{\numberline {1}Lecture 16 - 05-05-2020}{1}\protected@file@percent }
\@writefile{lof}{\addvspace {10\p@ }}
\@writefile{lot}{\addvspace {10\p@ }}
\@writefile{toc}{\contentsline {section}{\numberline {1.1}Analysis of Perceptron in the non-separable case using OGD framework.}{1}\protected@file@percent }
\@writefile{lof}{\contentsline {figure}{\numberline {1.1}{\ignorespaces }}{1}\protected@file@percent }
\@writefile{lof}{\contentsline {figure}{\numberline {1.2}{\ignorespaces Hinge loss}}{2}\protected@file@percent }
\@writefile{lof}{\contentsline {figure}{\numberline {1.3}{\ignorespaces }}{3}\protected@file@percent }
\@writefile{toc}{\contentsline {subsection}{\numberline {1.1.1}Strongly convex loss functions}{5}\protected@file@percent }
\@writefile{lof}{\contentsline {figure}{\numberline {1.4}{\ignorespaces Example of more type of convex function}}{5}\protected@file@percent }