Extra resources

This page is used to post some extra resources that are not proper for other pages. All resources are external links, so click on them to open.

Slide Presentations

• Digital Images and Computer Vision 101 Class Notes
  • Basic Digital Image Representation and Operations - Part 1 (portuguese)
  • Basic Digital Image Representation and Operations - Part 2 (portuguese)
  • Project 1 (portuguese)
  • Spatial Filtering (Portuguese)
  • Frequency Filtering (Portuguese)
  • Face Detection (Portuguese)
  • Face Detection with Deep Learning (Portuguese)

• Deep Learning 101 Class Notes
  • Neural Networks Intro (portuguese)
  • Neural Network Classification (portuguese)
  • Neural Network Regression (portuguese)
  • CNNs Intro (portuguese)
  • CNNs with K-Fold Cross-Validation (portuguese)

• Python and Statistics 101 Class Notes
  • Python 101 - part 1 (portuguese)
  • Python 101 - part 2 (portuguese)
  • Statistics 101 (portuguese)
  • Data Visualization 101 (portuguese)
  • First Mini-project (portuguese)
  • Basic Distributions (portuguese)
  • Tests (portuguese)
  • Imbalanced Data (portuguese)
  • Second Mini-project (portuguese)

• Machine Learning: Classifiers and Models Validation Class Notes
  • Confusion Matrix (portuguese)
  • Auxiliary Notebook
  • Transfer Learning (portuguese)
  • Auxiliary Notebook
  • Sentiment Analysis Intro (portuguese)
  • Style Transfer Intro (portuguese)
  • AWS SageMaker Deploy Tutorial (portuguese)

• Supervised Learning Class Notes
  • Introduction (portuguese)
  • Linear Regression (portuguese)
  • K-Nearest Neighbors - KNN (portuguese)
  • Support Vector Machines - SVM (portuguese)
  • Artificial Neural Networks (portuguese)
  • Auxiliary Notebook
  • Recurrent Neural Networks - RNN (portuguese)
  • Convolutional Neural Networks - CNN (portuguese)
  • Auxiliary Notebook
  • Toy dataset from Kaggle
  • Toy dataset for regression exercises

• Unsupervised Learning Class Notes
  • Introduction (portuguese)
  • K-Means Algorithm (portuguese)
  • PAM Algorithm (portuguese)
  • DBSCAN Algorithm (portuguese)
  • Auxiliary Notebook
  • Autoencoders (portuguese)
  • Auxiliary Notebook
  • Generative Adversarial Networks (portuguese)
  • Auxiliary Notebook
  • Toy dataset for clustering exercises

• Reinforcement Learning Class Notes
  • Multi-Armed Bandit Problem (portuguese)
  • Markov Decision Process (portuguese)
  • Q-learning and Actor Critic (portuguese)
  • Introduction to Deep Reinforcement Learning (portuguese)

• Simple Autoencoder Implementation for The Signals, Images and Video Coding Course at The University of Brasília - FGA
  • Slide Presentation (portuguese)
  • Google Colaboratory
  • Dataset -> not-MNIST

• CCECE 2019 Slide Presentation

• Master's Thesis: Detecção de Modo de Transporte Utilizando Smartphones e Redes Neurais Artificiais para Prevenção de Acidentes

• Undergrad Thesis: Detecção de Fraudes em Leitores de Impressões Digitais sem Contato Utilizando Descritores de Texturas e Redes Neurais Artificiais

• WPOS/WCOMP 2017

• WPOS/WCOMP 2016

• PPGINF Seminar: Transport Mode Detection Using Mobile Phones and Artificial Neural Networks for Accident Prevention

• PPGINF Seminar: Detecção de Fraudes em Leitores de Impressões Digitais sem Contato Utilizando Descritores de Texturas e Redes Neurais Artificiais

Posters

• ProIC 2013/2014

• ProIC 2012/2013

Fundamentals of Robotics with LEGO MINDSTORMS EV3

• RileyRover

• 01 - Introduction

• 02 - Sounds, screen, lights and operators

• 03 - Fluxograms and Color Sensor