Introduction to Deep Learning Dept. of Electrical Engineering

Description:
Deep learning technologies have matured to the point where all system engineers must be aware of their capabilities and limitations.
Deep learning has demonstrated spectacular success in computer vision, timeseries forecasting, text/language analysis,
and autonomous robots.
This course uses the TensorFlow/Keras development framework
to provide a handson introduction to deep learning. The course topics include

Recommended Prerequisites: Familiarity with probability and linear algebra. Prior experience with Python. 
Grading: 20% 4 takehome quizzes, 20% 6 notebook assignments, 20% Final Project, 20% Midterm, 20% Final 
Textbooks:

Instructor: Michael Lemmon, Dept. of Electrical Engineering, University of Notre Dame, Fitzpatrick 275C, (lemmon at nd.edu) 