{overleaf skabelonsgalleri}LaTeX templates and examples — Recent

Primality Tests and Factoring Algorithms

get bibtex working on both in Overleaf (BibLaTeX) and Texmaker (MiKTeX, Apacite)

Deep learning is a fast growing field in tech that is often described to have limitless potential. This paper describes its history, why the explosion in popularity, and how it works. An example of classifying images of handwritten digits (MNIST) will be explored using a fully connected network and a convolutional neural network. Next, a brief description of the tools necessary for the reader to implement his or her own network. Finally, a view of the state of the art being developed by companies such as Google, Facebook, and Baidu.

Two Snow Plows Problem

A presentation to Faculty of Engineering, University of Ghent, approximating the FirW house style. Voor een presentatie aan de Faculteit Ingenieurswetenschappen kan je de template van Harald Devos gebruiken, die een goede benadering is van de officiële FirW-huisstijl. Mits enige aanpassing is deze stijl ook te gebruiken voor andere faculteiten of aan te passen richting algemene UGent-huisstijl. (Downloaded from LaTeX templates en logo's)

Scriptie voorgelegd tot het behalen van de graad van Burgerlijk Ingenieur in de Computerwetenschappen: Informatie- en Communicatietechnologie, juni 2006 (Downloaded from LaTeX templates en logo's)

Liturgia apresentada na Igreja Presbiteriana Central de Coronel Fabriciano por ocasião do Culto vespertino

"(Infinite) series are the invention of the devil, by using them, on may draw any conclusion he pleases, and that is why these series have produced so many fallacies and so many paradoxes." -Neils Hendrik Abel

The package provides a LaTeX document class for writing a PhD thesis. The author developed it while writing his PhD thesis in School of Computing (SoC), National University of Singapore (NUS). By default, the class adheres to the NUS Guidelines on Format of Research Thesis Submitted For Examination. However, the class for conformation to a different guideline should not be difficult. For help and advice, the best place to raise an issue is on the package's Github repository. Alternatively, you can use the comment form on the author's page. License: SPhdThesis is released under public domain. You are free to use, modify, and distribute it as you wish.