Research output: Non-textual form › 2D/3D (psysical products) › Research
In Deconstructing Representation machine learning is used as an explorative approach to visualise patterns within a dataset of images. Compiling a dataset of Instagram images saved by the artist over time and training a generative adversarial network (GAN) to produce images reminiscent of that dataset, the resulting images show the gradual buildup and breakdown of computational representations and visual affinities.
|Publication date||8 Nov 2019|
|Publication status||Published - 8 Nov 2019|
|Event||Perpetual Interpreter - LOKALE, Copenhagen, Denmark|
Duration: 8 Nov 2019 → 24 Nov 2019
|Period||08/11/2019 → 24/11/2019|