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| 1 | +\documentclass{beamer} |
| 2 | + |
| 3 | +% Theme choice |
| 4 | +\usetheme{Madrid} |
| 5 | + |
| 6 | +% Optional packages |
| 7 | +\usepackage{graphicx} % For including images |
| 8 | +\usepackage{amsmath} % For math symbols and formulas |
| 9 | +\usepackage{hyperref} % For hyperlinks |
| 10 | + |
| 11 | +\title[Deep Learning Tech Introduction]{Deep Learning Tech Introduction} |
| 12 | +\author{Nesterov Alexander, Obolenskiy Arseniy} |
| 13 | +\institute{ITLab} |
| 14 | + |
| 15 | +\date{\today} |
| 16 | + |
| 17 | +% Redefine the footline to display both the short title and the org name |
| 18 | +\setbeamertemplate{footline}{ |
| 19 | + \leavevmode% |
| 20 | + \hbox{% |
| 21 | + \begin{beamercolorbox}[wd=.45\paperwidth,ht=2.5ex,dp=1ex,leftskip=1em,center]{author in head/foot}% |
| 22 | + \usebeamerfont{author in head/foot}\insertshortinstitute % Displays the university name |
| 23 | + \end{beamercolorbox}% |
| 24 | + \begin{beamercolorbox}[wd=.45\paperwidth,ht=2.5ex,dp=1ex,leftskip=1em,center]{author in head/foot}% |
| 25 | + \usebeamerfont{author in head/foot}\insertshorttitle % Displays the short title |
| 26 | + \end{beamercolorbox}% |
| 27 | + \begin{beamercolorbox}[wd=.1\paperwidth,ht=2.5ex,dp=1ex,rightskip=1em,center]{author in head/foot}% |
| 28 | + \usebeamerfont{author in head/foot}\insertframenumber{} / \inserttotalframenumber |
| 29 | + \end{beamercolorbox}}% |
| 30 | + \vskip0pt% |
| 31 | +} |
| 32 | + |
| 33 | +\begin{document} |
| 34 | + |
| 35 | +\begin{frame} |
| 36 | + \titlepage |
| 37 | +\end{frame} |
| 38 | + |
| 39 | +\begin{frame}{Contents} |
| 40 | + \tableofcontents |
| 41 | +\end{frame} |
| 42 | + |
| 43 | +\section{Deep neural network} |
| 44 | + |
| 45 | +\begin{frame}{Deep neural network} |
| 46 | + \begin{figure}[h] |
| 47 | + \includegraphics[width=1\textwidth]{images/dnn.png} |
| 48 | + \end{figure} |
| 49 | +\end{frame} |
| 50 | + |
| 51 | +\section{What we can to do with DNN?} |
| 52 | +\begin{frame}{What we can to do with DNN?} |
| 53 | + \begin{figure}[h] |
| 54 | + \includegraphics[width=1\textwidth]{images/inference.png} |
| 55 | + \end{figure} |
| 56 | +\end{frame} |
| 57 | + |
| 58 | +\section{First network} |
| 59 | +\begin{frame}{First network} |
| 60 | + \begin{figure}[h] |
| 61 | + \includegraphics[width=1\textwidth]{images/lenet.png} |
| 62 | + \end{figure} |
| 63 | + \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.} |
| 64 | +\end{frame} |
| 65 | + |
| 66 | +\section{Frameworks} |
| 67 | +\begin{frame}{Frameworks} |
| 68 | + \begin{figure}[h] |
| 69 | + \includegraphics[width=0.85\textwidth]{images/frameworks.png} |
| 70 | + \end{figure} |
| 71 | + \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.} |
| 72 | +\end{frame} |
| 73 | + |
| 74 | +\section{OpenVINO - Small IR} |
| 75 | +\begin{frame}{OpenVINO - Small IR} |
| 76 | + \begin{figure}[h] |
| 77 | + \includegraphics[width=0.4\textwidth]{images/small_ir.png} |
| 78 | + \end{figure} |
| 79 | + \footnotesize Source: \href{https://docs.openvino.ai/}{docs.openvino.ai} |
| 80 | +\end{frame} |
| 81 | + |
| 82 | +\section{OpenVINO - Netron} |
| 83 | +\begin{frame}{OpenVINO - Netron} |
| 84 | + \begin{figure}[h] |
| 85 | + \includegraphics[width=0.6\textwidth]{images/openvino.png} |
| 86 | + \end{figure} |
| 87 | + \footnotesize Source: \href{https://netron.app/}{netron.app} |
| 88 | +\end{frame} |
| 89 | + |
| 90 | +\section{What next?} |
| 91 | +\begin{frame}{What next?} |
| 92 | + \begin{itemize} |
| 93 | + \item Arm Compute Library (ACL) - what is it? |
| 94 | + \item Layers representation in ACL |
| 95 | + \item First Examples |
| 96 | + \end{itemize} |
| 97 | +\end{frame} |
| 98 | + |
| 99 | +\end{document} |
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