Deep Learning
(MO434/MC934)

Prof. Alexandre Xavier Falcão

14. Fevereiro 2026

Figures and tabular dataset.
Image datasets.
Notebooks used in the lectures.
Instructions to install python environment and packages for this course.
The required packages to create the python environment for this course.

Introduction to Deep Learning
Fundamentals of Neural Networks (Part I - classification x regression)
Fundamentals of Neural Networks (Part II)
Art of Training Deep Neural Networks
Fundamentals for Image Analysis using Deep Learning
Convolutional Neural Networks (image classification)
Applications in Image Analysis (verification, detection, and segmentation)
Transformer and its application to text classification and sentiment analysis
Vision Transformer and its application to image analysis