Deep Learning
(MO434A/MC934B)
Prof. Alexandre Xavier Falcão
February 5th, 2025
Figures and datasets required for the notebooks.
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 of Image Analysis using Deep Learning
Convolutional Neural Networks (image classification)
Applications in Image Analysis (Part I -- person verification and object detection)
Applications in Image Analysis (Part II -- image segmentation)
Introduction To Text Analysis (text preprocessing)
Text Representation (text embedding)
Recurrent Neural Networks (text classification)
Transformers (applications in text analysis and image classification)
