Inference Engine: Exploring the GANthropocene

Grayson Earle

Grayson Earle introduces you to the basics of utilizing Generative Adversarial Networks in this hands-on workshop.
In this workshop, led by Grayson Earle, the artist behind Inference Engine, you’ll learn about how GANs work and then utilize a pre-trained Generator to produce new images and videos. Topics include: an introduction to neural networks; creative projects that utilize GANs; how Generative Adversarial Networks function; latent space; training a GAN (this will not happen from scratch due to time constraints, but you will be able to try this later on their own); using “inference” to generate new images; and creating videos that “walk” through the latent space of a GAN model.

Artist Profile

GRAYSON EARLE

Grayson Earle is a new media artist and educator. He has worked as a professor at Oberlin College, the New School, and the City University of New York. He is the co-creator of Bail Bloc and a member of The Illuminator art collective. His work uses the context of art to materialize ideas and forms surrounding the role that digital technologies and networks can play in protest and political agency. He exhibits inside and outside of traditional art spaces, working with guerrilla video projection, cryptocurrency, machine learning, simulation, sculpture, and the internet. Earle has held fellowships at Akademie Schloss Solitude, ZK/U, Ujazdowski Castle Centre for Contemporary Art, and Pioneer Works. He has presented his work and research at The Whitney Museum of Art, MoMA PS1, Radical Networks, the Magnum Foundation, and Open Engagement. Recent exhibitions include the Brooklyn Museum (USA), Centro de Cultura Digital (Mexico), Kate Vass Galerie (Switzerland), and The Red House (Taiwan).

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