In this project, we’ll use generative adversarial networks to generate new images of faces.
Hi, I’m Maurício. I am an Assistant Teaching Professor of Accounting at Northeastern University in Boston, MA. My research interests include data analytics, text mining, artificial intelligence, and machine learning techniques such as deep learning applied to solving business problems. My doctoral dissertation developed a framework for continuous auditing using XBRL and Audit Data Standards. Before entering academia, I worked for 13 years as a software consultant for a major ERP provider in Brazil, where I implemented, customized, and developed business intelligence solutions, data warehouses, and management systems. 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.