Commit 5ea48af0 authored by Rita-Josy Haddoub's avatar Rita-Josy Haddoub
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This is the pretrained model for _Béton_, along with its raw image dataset. The model uses -deep learning- through pix2pix, a conditional generative adversarial network autoencoder.
# Overview
A collection of photographs showing found Béton have been stored in a dedicated image dataset. With this dataset, I am exploring ways that _‘Machine Learners’_ refers to humans as much as it does to computers. As a single _‘variable’_ which represents experimentation and fragmentation, _Béton_ can be computationally seen within the ‘Latent Space.’ The Latent space is the hidden layer of machine learning which breaks its’ input apart, and tries to re-assemble it by learning possible compositions. To visualize the latent space, I feed my image dataset of _Béton_ to a network that de-codes this inner process and generates the re-done _Béton_.
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