Deep Learning
(MO434/MC934)

Prof. Alexandre Xavier Falc√£o

July 9, 2021






Instructions to install python environment and packages for this course.
Overview of the course
Fundamentals of (Deep) Neural Networks (Part I) (Notebooks)
Fundamentals of (Deep) Neural Networks (Part II) (Notebooks)
Art of training deep neural networks (Keras notebooks)
Fundamentals for image analysis by deep learning
Convolutional Neural Networks (CNNs) (Keras notebooks)
CNNs with Pytorch (Pytorch notebooks)
Applications in Image Analysis (Part I) (Pytorch notebooks)
Applications in Image Analysis (Part II) (Pytorch notebook)
Introduction to Text Analysis (Notebook)
Text Representation (Notebooks)
RecurrentNeuralNetworks (Notebooks)
Transformers (Notebooks)