Brief description
This work explores how a feedback loop of generative adversarial neural networks (GANs) is transforming errors into meaning while at the same time confirming and emphasizing biases in the training data.
This work explores how a feedback loop of generative adversarial neural networks (GANs) is transforming errors into meaning while at the same time confirming and emphasizing biases in the training data.
Title | Publication Type | Year | Creator |
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79530 Self Portraits | Art, Video art | Mario Klingemann |