Lea Porre

Gradient Descent is an experimental exhibition solely curated by a custom built machine learning algorithm. A pre-existing neural network image model was refined with training on a dataset of 725 documentation images from all the previous artworks, exhibitions and projects that have been shown at Gossamer Fog in its eight year history. In collaboration with artist and creative technologist Jayson Haebich we have created a tool capable of analysing the 465 submissions that we received through our open call, which were then scored based on how well they corresponded with the average aesthetic of the gallery and original dataset. Consequently, the neural network was able to discern the most fitting artworks for inclusion in this show and selected 21 works from 16 artists.