Deconstructing Representation
Research output: Non-textual form › 2D/3D (psysical products) › Research
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Research output: Non-textual form › 2D/3D (psysical products) › Research
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TY - ADVS
T1 - Deconstructing Representation
A2 - Lee, Rosemary
PY - 2019/11/8
Y1 - 2019/11/8
N2 - 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.
AB - 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.
M3 - 2D/3D (psysical products)
PB - LOKALE
T2 - Perpetual Interpreter
Y2 - 8 November 2019 through 24 November 2019
ER -
ID: 84694302