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Results tagged with generative-adversarial-networks
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user 11845
For questions related to generative adversarial networks (GANs), introduced in the paper Generative Adversarial Nets (2014) by J. Goodfellow et al. A GAN is composed of a discriminative model (D) and a generative model (G). The discriminator D needs to distinguish between data generated by the generator G and data in the training set, while the generator G needs to generate data such that the discriminator D is not able to accomplish its task.
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What are the possible social consequences of training neural networks with artificially gene...
Machine learning models and, in particular, neural networks are trained with data often collected from the real world, such as images of real people.
Meanwhile, neural networks (such as GANs) are also …
