\beamer@slide {overview-of-optimization}{2}
\beamer@slide {overview-of-optimization}{3}
\beamer@slide {an-informal-definition-of-optimization}{4}
\beamer@slide {applications}{5}
\beamer@slide {more-formally}{6}
\beamer@slide {optimization-is-a-large-area-of-research}{7}
\beamer@slide {optimization-for-machine-learning}{8}
\beamer@slide {gradient-descent}{9}
\beamer@slide {gradient-descent-motivation}{10}
\beamer@slide {outline-of-gradient-descent-algorithm}{11}
\beamer@slide {outline-of-gradient-descent-algorithm}{12}
\beamer@slide {gradient-descent-with-momentum}{13}
\beamer@slide {outline-of-gradient-descent-algorithm}{14}
\beamer@slide {some-convergence-criteria}{15}
\beamer@slide {checkgrad}{16}
\beamer@slide {sgd}{17}
\beamer@slide {sgd2}{18}
\beamer@slide {demo}{19}
\beamer@slide {convexity}{20}
\beamer@slide {definition-of-convexity}{21}
\beamer@slide {why-do-we-care-about-convexity}{22}
\beamer@slide {examples-of-convex-functions}{23}
\beamer@slide {examples-of-convex-functions}{24}
\beamer@slide {convexity-for-logistic-regression}{25}
\beamer@slide {more-on-optimization}{26}
