{overleaf template gallery}LaTeX templates and examples — Recent

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.

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)

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.

I adapted the Jacobs Landscape Poster LaTeX Template created by the Computational Physics and Biophysics Group at Jacobs University to have a simple, classic LaTeX look, and included colours specified by the Dalhousie brand guide. The original template I had built upon is also on the Overleaf Gallery with the heading "Unnecessarily Complicated Research title. Created by: Computational Physics and Biophysics Group at Jacobs University Further modified by: Nathaniel Johnston (nathaniel@njohnston.ca) Modified further still by: Abraham Nunes (nunes <at> dal <dot> ca) License: CC BY-NC-SA 3.0

This file provides two minimal examples of typesetting parallel texts with reledmac plus reledpar. The first minimal example is parallel typesetting in columns, the second one is parallel typesetting in pages.

This is the partial source code and images of Edible Food Book, a CC-BY-SA-3.0 book. Copyright © 2013 Abdelkrime Aries <kariminfo0@gmail.com> Some fonts and colours have been modified from the original. This template contains only nuts, cereals and pulses (grain legumes), and the images have been resized to save disk space. You can see the complete output PDF here, or get the complete source at the original Github site.

Created using the ModernCV template from LaTeXtemplates.com.

This Project posits elementary analogies of existing Probabilistic and Machine Learning models that have been used to find solutions to the problem of the Structural Segmentation of Musical audio. I have tried to use the idea that the chord of a given beat or frame of a song is an analogous representation of the states generated by trained Hidden Markov Models in generating feature vectors for the aforementioned problem; and that the knowledge of the temporal boundaries within which, a group of frames lie, can be used as constraints in creating the feature vectors that are eventually clustered to identify the pattern in which the various segments of a song repeat.