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\section{Equations} | |
We can have three types of these - An inline equation : $2x+3 = 10$, or a proper block , $$2 \sin(x)+10 = 100$$ or a long form one such as this. | |
\begin{equation} | |
E[g^{2}]_{t}= 0.9E[g^{2}]_{t-1}+ 0.1g^{2}_{t}\\ | |
\theta_{t+1}= \theta_{t}- \frac{\eta}{\sqrt{E[g^{2}])_{t}+\epsilon}}g_{t} | |
\end{equation} |
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\begin{lstlisting}[language=Python] | |
import numpy as np | |
print(np.random.rand(10)) | |
\end{lstlisting} |
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\usepackage{listings} |
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\section{Formatting} | |
This \textbf{will be bold}, then \textit{italic}, and also \textcolor{red}{red}. | |
To add a line break, simply add \\ | |
this will be a new line |
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\begin{figure}[h] | |
\includegraphics[width=\linewidth]{figures/2560px-PyTorch_logo_black.svg.png} | |
\centering | |
\caption{Representation in the Simulation} | |
\label{fig:colors} | |
\end{figure} |
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\section*{What is Computer Vision?} | |
A study of the techniques used to extract meaning from image or video related data. The applications are endless, starting from face recognition, to self driving cars. | |
\subsection*{Computer Vision in the field of Deep Learning} | |
Deep learning has revolutionised the field of Computer Vision by giving it superpowers. The ability to learn from billions of images come as a huge leap forward in the field. | |
\subsubsection*{A note} | |
Classicial CV is still very relevant today. |
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\begin{abstract} | |
This paper is a short introduction to Pytorch, a deep learning framework. Special focus will be given to applications of Computer Vision. This is a demo paper, and has no particular significance. | |
\end{abstract} |
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\title{Computer Vision in Pytorch - A Primer} |
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\begin{document} | |
\title{Computer Vision in Pytorch - A Primer\\ | |
\thanks{I thank Overleaf for this template} | |
} | |
\author{\IEEEauthorblockN{1\textsuperscript{st} Subhaditya Mukherjee} | |
\IEEEauthorblockA{\textit{Faculty of Science and Engineering } \\ | |
\textit{University Of Groningen}\\ | |
Groningen, Netherlands \\ |
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\documentclass[conference]{IEEEtran} | |
\IEEEoverridecommandlockouts | |
% The preceding line is only needed to identify funding in the first footnote. If that is unneeded, please comment it out. | |
\usepackage{cite} | |
\usepackage{amsmath,amssymb,amsfonts} | |
\usepackage{algorithmic} | |
\usepackage{graphicx} | |
\usepackage{textcomp} | |
\usepackage{xcolor} | |
\def\BibTeX{{\rm B\kern-.05em{\sc i\kern-.025em b}\kern-.08em |