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Commit 88a931ee authored by Tim Hallyburton's avatar Tim Hallyburton
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feat: structure

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......@@ -43,6 +43,11 @@
\end{enumerate}
\end{frame}
\begin{frame}
\frametitle{Test}
Hello there $F_{0x}$
\end{frame}
\begin{frame}
\frametitle{Motivation}
%% Main points of motivation
......
\section{Artificial Neural Network}
\label{sec:ann}
%%
%% - how did the idea transpire?
%% - why are they used in CS?
%% - gradient descent, backward & forward step
%% - what are the capabilities
%%
Artificial Neural Networks (ANNs)
The widespread use of Neural Networks lies in both, their simple, yet elegant architecture combined with the powerful computational possibilities.
A Neural Network describes a general function approximator and hence can be trained to simulate a computable function with arbitrary precision. \cite{goodfellow_deep_2016}
\begin{figure}
\centering
\input{figures/simple_neuron.tex}
\end{figure}
\chapter{Fundamentals}
\label{chap:fundamentals}
The basics of neural networks.
\input{chapter/fundamentals/ann.tex}
\input{chapter/fundamentals/har.tex}
\input{chapter/fundamentals/privacy.tex}
\ No newline at end of file
\section{Human Activity Recognition}
\label{sec:har}
HAR is cool
\ No newline at end of file
\section{Privacy and Anonymity}
\label{sec:privacy}
%% What is privacy?
%% Why does it matter?
%% Ethical and judical foundations of privacy
%% Pricacy-enhancing methods
%% Can privacy be measured?
\ No newline at end of file
@book{goodfellow_deep_2016,
address = {Cambridge, Massachusetts},
series = {Adaptive computation and machine learning},
title = {Deep learning},
isbn = {9780262035613},
publisher = {The MIT Press},
author = {Goodfellow, Ian and Bengio, Yoshua and Courville, Aaron},
year = {2016},
keywords = {Machine learning},
}
\tikzset{every picture/.style={line width=0.75pt}} %set default line width to 0.75pt
\begin{tikzpicture}[x=0.75pt,y=0.75pt,yscale=-1,xscale=1]
%uncomment if require: \path (0,300); %set diagram left start at 0, and has height of 300
% Text Node
\draw (112.88,99) node {$x_{1}$};
% Text Node
\draw (112.88,133.53) node {$x_{2}$};
% Text Node
\draw (112.88,203.2) node {$x_{n}$};
% Text Node
\draw (112.88,168.86) node {$...$};
% Text Node
\draw (208.5, 154.5) circle [x radius= 18.18, y radius= 18.18] ;
\draw (208.5,154.5) node [font=\Large] {$f$};
% Text Node
\draw (146.5,102.4) node [anchor=north west][inner sep=0.75pt] {$w_{1}$};
% Text Node
\draw (146.5,144.4) node [anchor=north west][inner sep=0.75pt] {$w_{2}$};
% Text Node
\draw (146,186.4) node [anchor=north west][inner sep=0.75pt] {$w_{n}$};
% Text Node
\draw (271,145.9) node [anchor=north west][inner sep=0.75pt] {$\sigma \ =\ f( w_{1} x_{1} \ +\ w_{2} x_{2} \ +\ ...\ +\ w_{n} x_{n})$};
% Connection
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% Connection
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% Connection
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% Connection
\draw (226.68,154.5) -- (266,154.5) ;
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\end{tikzpicture}
No preview for this file type
......@@ -5,12 +5,12 @@
% -------------------------------------------------------------------
% Personal information
\newcommand \Autor{Max Mustermann}
\newcommand \Titel{Vorlage}
\newcommand \Untertitel{mit Untertitel}
\newcommand \Autor{Tim Hallyburton}
\newcommand \Titel{IMU Data Anonymization with Generative Adversarial Networks}
\newcommand \Untertitel{Master Thesis (M.Sc.)}
%other information
\newcommand{\Supervisor}{Prof. Dr.-Ing. Gernot A. Fink\xspace}
\newcommand{\otherSupervisor}{Max Musterbetreuer, M.Sc.\xspace}
\newcommand{\otherSupervisor}{Dr. René Grzeszick\xspace}
\newcommand{\Faculty}{Fakult''at f''ur Informatik\xspace}
\newcommand{\Department}{Lehrstuhl 12\xspace}
......@@ -133,6 +133,7 @@
% -------------------------------------------------------------------
\include{chapter/main01}
\include{chapter/fundamentals/fundamentals}
% -------------------------------------------------------------------
% Appendix
......@@ -144,7 +145,8 @@
\cleardoublepage
%\bibliographystyle{IEEEtran}
\bibliographystyle{alphadin}
\bibliography{literatur}
%%\bibliography{literatur}
\bibliography{export-data}
% -------------------------------------------------------------------
\end{document}
......
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