Overview

Create generative art with advanced machine learning techniques. This workshop will offer participants an overview of a variety of neural network architectures that can be used to generate digital artworks. We will cover autoencoders, recurrent neural networks, generative adversarial networks, and the ways that each of these techniques can be used to create images, text, and music.

While this workshop will cover advanced topics in machine learning, attendees do not need prior programming or machine learning experience to participate.

Instructor: Douglas Duhaime (DHLab)

Registration & Requirements

This workshop is open to all Yale students, faculty, and staff, but space is limited. To register, please visit the YUL Instruction Calendar.

Participants are required to bring a laptop with Chrome already installed to the workshop.

Be among the first to know when new digital humanities workshops are offered by signing up for the DHLab’s newsletter.