Add 06-dl-tech-intro

.gitignore

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 *.tmp
 *.swp
 *.swo
+*.DS_Store

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

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+\documentclass{beamer}
+
+% Theme choice
+\usetheme{Madrid}
+
+% Optional packages
+\usepackage{graphicx} % For including images
+\usepackage{amsmath}  % For math symbols and formulas
+\usepackage{hyperref} % For hyperlinks
+
+\title[Deep Learning Tech Introduction]{Deep Learning Tech Introduction}
+\author{Nesterov Alexander, Obolenskiy Arseniy}
+\institute{ITLab}
+
+\date{\today}
+
+% Redefine the footline to display both the short title and the org name
+\setbeamertemplate{footline}{
+  \leavevmode%
+  \hbox{%
+    \begin{beamercolorbox}[wd=.45\paperwidth,ht=2.5ex,dp=1ex,leftskip=1em,center]{author in head/foot}%
+        \usebeamerfont{author in head/foot}\insertshortinstitute % Displays the university name
+    \end{beamercolorbox}%
+    \begin{beamercolorbox}[wd=.45\paperwidth,ht=2.5ex,dp=1ex,leftskip=1em,center]{author in head/foot}%
+      \usebeamerfont{author in head/foot}\insertshorttitle % Displays the short title
+    \end{beamercolorbox}%
+    \begin{beamercolorbox}[wd=.1\paperwidth,ht=2.5ex,dp=1ex,rightskip=1em,center]{author in head/foot}%
+      \usebeamerfont{author in head/foot}\insertframenumber{} / \inserttotalframenumber
+    \end{beamercolorbox}}%
+  \vskip0pt%
+}
+
+\begin{document}
+
+\begin{frame}
+    \titlepage
+\end{frame}
+
+\begin{frame}{Contents}
+    \tableofcontents
+\end{frame}
+
+\section{Deep neural network}
+
+\begin{frame}{Deep neural network}
+  \begin{figure}[h]
+    \includegraphics[width=1\textwidth]{images/dnn.png}
+  \end{figure}
+\end{frame}
+
+\section{What we can to do with DNN?}
+\begin{frame}{What we can to do with DNN?}
+  \begin{figure}[h]
+    \includegraphics[width=1\textwidth]{images/inference.png}
+  \end{figure}
+\end{frame}
+
+\section{First network}
+\begin{frame}{First network}
+  \begin{figure}[h]
+    \includegraphics[width=1\textwidth]{images/lenet.png}
+  \end{figure}
+  \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.}
+\end{frame}
+
+\section{Frameworks}
+\begin{frame}{Frameworks}
+  \begin{figure}[h]
+    \includegraphics[width=0.85\textwidth]{images/frameworks.png}
+  \end{figure}
+  \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.}
+\end{frame}
+
+\section{OpenVINO - Small IR}
+\begin{frame}{OpenVINO - Small IR}
+  \begin{figure}[h]
+    \includegraphics[width=0.4\textwidth]{images/small_ir.png}
+  \end{figure}
+  \footnotesize Source: \href{https://docs.openvino.ai/}{docs.openvino.ai}
+\end{frame}
+
+\section{OpenVINO - Netron}
+\begin{frame}{OpenVINO - Netron}
+  \begin{figure}[h]
+    \includegraphics[width=0.6\textwidth]{images/openvino.png}
+  \end{figure}
+  \footnotesize Source: \href{https://netron.app/}{netron.app}
+\end{frame}
+
+\section{What next?}
+\begin{frame}{What next?}
+  \begin{itemize}
+    \item Arm Compute Library (ACL) - what is it?
+    \item Layers representation in ACL
+    \item First Examples
+  \end{itemize}
+\end{frame}
+
+\end{document}

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

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