December 1


10:00 am - 06:00 pm

Click to Register:

Brooklyn Research


Brooklyn Research

630 Flushing Avenue 6th floor, Brooklyn, NY 11206

Brooklyn, NY, US, 11206

Deep generative models are a large class of machine learning algorithms which have stolen the attention of artists over the past two years, by hallucinating imitations of images from the uncanny valley. This workshop will survey the landscape of these representational models, and contain tutorials for how to train your own versions of them using existing open-source codebases which implement them and cloud computation resources. 

This one-day workshop will begin with a short presentation, introducing autoencoders and generative adversarial networks and reviewing their basic properties, as well as showing a selection of artworks and other creative projects that have made use of them. We will then have the following tutorials: collecting a large dataset from the internet and pre-processing it, and training a deep convolutional generative adversarial network (DCGAN) on a dataset of images and using it to generate new images.


Gene Kogan is an artist and a programmer who is interested in generative systems, computer science, and software for creativity and self-expression. He is a collaborator within numerous open-source software projects, and gives workshops and lectures on topics at the intersection of code and art. Gene initiated ml4a, a free book about machine learning for artists, activists, and citizen scientists, and regularly publishes video lectures, writings, and tutorials to facilitate a greater public understanding of the subject



10am – 1pm – first half of the workshop
1pm – 2pm – lunch break
2pm – 6pm – second half of the workshop


Laptop with charger and enthusiasm


Where is Brooklyn Research located?

We are on the 6th floor of the old Pfizer Building, at 630 Flushing Avenue, but the main entrance is at 28 Tompkins Avenue. The building is easily accessible from the G train (Flushing Ave station) and from the J/M trains (Flushing Ave station).

What do I need to bring?

Please come with your laptop and charger.

How can I contact the organizer with any questions?

Please send us an email at

What’s the refund policy?

Purchases are 100% refundable up until 7 days before the event. If you decide you cannot go after the refund deadline, you can transfer your ticket to someone else but you must let us know by email at