February 11, 2022

Eli Shlizerman will be teaching a special topic course this Spring: ECE 596 Introduction to Deep Learning Applications and Theory.

It is a project-based graduate course aimed to provide practical and fundamental skills to perform research with deep-learning in engineering and physical sciences.

In a nutshell, we will introduce current topics and methods in deep learning and Artificial Neural Networks (ANNs) and describe the underlying principles making neural networks generic computing frameworks. We will then build computational skills for training neural networks, understanding and working with algorithms related to different architectures of ANNs:

1) Convolutional Neural Network Models (CNNs)
2) Sequence Neural Network Models (RNNs)
3) Generative Variational and Adversarial NeuralNetwork Models (VAE/GANs)
4) Deep Reinforcement Learning

Machine Learning knowledge is recommended (but not required).

Due to expected interest, the course might get overbooked. If that happens, please email shlizee@uw.edu to place your email on the waitlist and discuss alternatives. Also please enroll if you really intend to take it.