Deep Learning to help combat gender violence: A representation of public data using Autoencoder network

• Ana Luiza S. Jornada La Salle University
• Aline Duarte Riva La Salle University

DOI: https://doi.org/10.5753/ercomprs.2022.20407

Abstract

This paper presents the development of a autoencoder neural network model that allows the creation of representations about the data of violence against women that contribute to the identification of patterns, helping to cha- racterize the profile of the aggressors, aiming to assist in the analysis informa- tion in a more intuitive way and in combating violence.

Keywords: Neural Network, Information Analysis, autoencoder

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