From Dust to Deep Learning: an Intro to Generative Poetry

In 1967, Alison Knowles and James Tenney collaborated to produce one of the first computer-based poems ever: A House of Dust. 50 years later, in 2017, poets write using neural nets. Join digital-poet David Jhave Johnston to trace a few histories of computational poetry, speculate on future poetry, and learn how to produce generative poetry.

The workshop is open to all, no specific skills required. The workshop will allow each to explore at a level appropriate to their experience: poets with no prior experience with coding, coders with no prior experience writing poetry, and everyone in between.

Participants are encouraged to bring laptops and dive into writing code to produce poetry, but those who are more comfortable writing or working on paper are welcome as well. Either create your own version of Knowles and Tenneys essential poem using code, word docs, or cut-up paper or edit and explore the outputs of neural nets.

Come learn how to write poetry with code! The workshop will culminate with an impromptu reading of the works produced.

Date: Saturday, October 21

Time: 12-3pm

Registration Fees:

$45 With Annual Studio/Workshop Pass

$60 Regular

What, if any, prerequisite knowledge should students have? This is an introductory workshop, but participants will benefit from any prior experience with computer coding and/or creative writing. Please come prepared to share your curiosities/areas of expertise with the group!

What to bring: Please bring a computer, as well as a notebook and writing utensil. Participants may also want to bring additional writing materials, such as newspapers and magazines.

About the instructor: David 'Jhave' Johnston http://glia.ca is a digital-poet. In 2016, MIT Press published his book: Aesthetic Animism: Digital Poetry's Ontological Implications. 2017 winner of the The N. Katherine Hayles Award for Criticism of Electronic Literature. He creates digital literature, language-art installations and spoken-word performances that expose and question human-machine symbiosis.



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From Dust to Deep Learning: an Intro to Generative Poetry

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