Fundamentals of Machine Learning - Deep Learning

A robotic Michelangelo painting by Dario Cioni.

Second year Master’s Course in Computer Engineering.

In this course’s module on Deep Learning we will cover the basics of Deep Neural Network, their design and optimization with practical examples in pytorch. Course material will be available online: (https://e-l.unifi.it/course/view.php?id=28262)

The course will cover:

  • Backpropagation
  • Training
  • Multi Layer Perceptrons
  • Convolutional Neural Networks
  • Sequence models:RNN, LSTM
  • Autoencoders
Lorenzo Seidenari
Lorenzo Seidenari
Assistant Professor of Computer Engineering

I am an Associate Professor (Tenure Track) of Computer Engineering at the University of Florence working on Deep Learning and Computer Vision.