The Discriminator will easily identify the images as fake and the output (14) will be pseudo-probabilities close to 0. When compared against an all_ones tensor (15) the loss value will be large and ...
This article is part of Demystifying AI, a series of posts that (try) to disambiguate the jargon and myths surrounding AI. Moments of epiphany tend to come in the unlikeliest of circumstances. For Ian ...
A Generative Adversarial Network (GAN) is a type of machine learning model that’s used to generate fake data that resembles real data. Since its inception in 2014 with Ian Goodfellow’s ‘Generative ...
Researchers from Chung-Ang University propose a strategy that addresses the stability and efficiency issues of GANs, boosting their performance while also being flexible enough to adapt to different ...
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