In this project, we’ll use generative adversarial networks to generate new images of faces.
Hi, I´m Maurício. Currently, I am a Post-Doc in Account Information System at Rutgers Business School in New Jersey, USA. My research interests include data analytics, text mining, artificial intelligence and machine learning techniques as such deep learning applied to business problems resolutions. My dissertation focused on the development of a framework for Continuous Audit using XBRL and Audit Data Standards. Previously, I worked for 11 years as a software consultant for a major ERP in Brazil, during this time I had the opportunity to work on several projects implementing, customizing and developing business intelligence, data warehouses, and management systems. You can find some of my papers here
PhD in Accounting Information System, 2018
University of Santa Catarina
Master of Accontancy, 2014
University of Santa Catarina
M.B.A in Costs Management and Finance, 2012
Uniasselvi
Bachelor of Science in Accounting, 2009
Instituto Cenescista Fayal de Ensino Superior
In this project, we’ll use generative adversarial networks to generate new images of faces.
In this project, we’re going to take a peek into the realm of neural network machine translation. We’ll be training a sequence to sequence model on a dataset of English and French sentences that can translate new sentences from English to French.
In this project, we’ll generate our own Simpsons TV scripts using RNNs. we’ll be using part of the Simpsons dataset of scripts from 27 seasons. The Neural Network we’ll build will generate a new TV script for a scene at Moe’s Tavern.
In this project, we’ll build a convolutional, max pooling, dropout, and fully connected layers. At the end, we’ll get to see our neural network’s predictions on the sample images.
In this project, we’ll build a neural network and use it to predict daily bike rental ridership.