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.gitignore

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*.tmp
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*.swo
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*.DS_Store

06-dl-tech-intro/06-dl-tech-intro.tex

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\documentclass{beamer}
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% Theme choice
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\usetheme{Madrid}
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% Optional packages
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\usepackage{graphicx} % For including images
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\usepackage{amsmath} % For math symbols and formulas
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\usepackage{hyperref} % For hyperlinks
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\title[Deep Learning Tech Introduction]{Deep Learning Tech Introduction}
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\author{Nesterov Alexander, Obolenskiy Arseniy}
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\institute{ITLab}
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\date{\today}
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% Redefine the footline to display both the short title and the org name
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\setbeamertemplate{footline}{
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\leavevmode%
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\hbox{%
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\begin{beamercolorbox}[wd=.45\paperwidth,ht=2.5ex,dp=1ex,leftskip=1em,center]{author in head/foot}%
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\usebeamerfont{author in head/foot}\insertshortinstitute % Displays the university name
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\end{beamercolorbox}%
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\begin{beamercolorbox}[wd=.45\paperwidth,ht=2.5ex,dp=1ex,leftskip=1em,center]{author in head/foot}%
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\usebeamerfont{author in head/foot}\insertshorttitle % Displays the short title
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\end{beamercolorbox}%
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\begin{beamercolorbox}[wd=.1\paperwidth,ht=2.5ex,dp=1ex,rightskip=1em,center]{author in head/foot}%
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\usebeamerfont{author in head/foot}\insertframenumber{} / \inserttotalframenumber
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\end{beamercolorbox}}%
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\vskip0pt%
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}
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\begin{document}
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\begin{frame}
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\titlepage
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\end{frame}
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\begin{frame}{Contents}
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\tableofcontents
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\end{frame}
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\section{Deep neural network}
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\begin{frame}{Deep neural network}
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\begin{figure}[h]
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\includegraphics[width=1\textwidth]{images/dnn.png}
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\end{figure}
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\end{frame}
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\section{What we can to do with DNN?}
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\begin{frame}{What we can to do with DNN?}
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\begin{figure}[h]
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\includegraphics[width=1\textwidth]{images/inference.png}
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\end{figure}
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\end{frame}
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\section{First network}
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\begin{frame}{First network}
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\begin{figure}[h]
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\includegraphics[width=1\textwidth]{images/lenet.png}
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\end{figure}
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\footnotesize Source: \href{https://blog.insightdatascience.com/convolutional-neural-networks-explained-with-american-ninja-warrior-c6649875861c}{Revisiting the LeNet-5 architecture, from “Gradient-Based Learning Applied to Document Recognition” by Yann LeCun et al., Proc. of the IEEE, 1998.}
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\end{frame}
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\section{Frameworks}
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\begin{frame}{Frameworks}
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\begin{figure}[h]
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\includegraphics[width=0.85\textwidth]{images/frameworks.png}
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\end{figure}
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\footnotesize Source: \href{https://devopedia.org/deep-learning-frameworks}{Battle of the Deep Learning frameworks Part 1: 2017, even more frameworks and interfaces. Towards Data Science, December 19. Accessed 2019-01-20.}
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\end{frame}
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\section{OpenVINO - Small IR}
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\begin{frame}{OpenVINO - Small IR}
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\begin{figure}[h]
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\includegraphics[width=0.4\textwidth]{images/small_ir.png}
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\end{figure}
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\footnotesize Source: \href{https://docs.openvino.ai/}{docs.openvino.ai}
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\end{frame}
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\section{OpenVINO - Netron}
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\begin{frame}{OpenVINO - Netron}
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\begin{figure}[h]
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\includegraphics[width=0.6\textwidth]{images/openvino.png}
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\end{figure}
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\footnotesize Source: \href{https://netron.app/}{netron.app}
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\end{frame}
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\section{What next?}
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\begin{frame}{What next?}
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\begin{itemize}
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\item Arm Compute Library (ACL) - what is it?
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\item Layers representation in ACL
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\item First Examples
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\end{itemize}
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\end{frame}
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\end{document}

06-dl-tech-intro/06-dl-tech-intro.toc

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\beamer@sectionintoc {1}{Deep neural network}{3}{0}{1}
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\beamer@sectionintoc {2}{What we can to do with DNN?}{4}{0}{2}
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\beamer@sectionintoc {3}{First network}{5}{0}{3}
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\beamer@sectionintoc {4}{Frameworks}{6}{0}{4}
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\beamer@sectionintoc {5}{OpenVINO - Small IR}{7}{0}{5}
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\beamer@sectionintoc {6}{OpenVINO - Netron}{8}{0}{6}
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\beamer@sectionintoc {7}{What next?}{9}{0}{7}

06-dl-tech-intro/images/dnn.png

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06-dl-tech-intro/images/inference.png

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06-dl-tech-intro/images/lenet.png

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06-dl-tech-intro/images/openvino.png

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06-dl-tech-intro/images/small_ir.png

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