Improved generative adversarial networks with reconstruction loss
Improved generative adversarial networks with reconstruction loss is a scholarly work, published in 2019 in ''Neurocomputing''. The main subjects of the publication include stereopsis, network architecture, regularization, generator, artificial intelligence, Discriminator, generative adversarial network, digital forensics, algorithm, biological robustness, machine learning, adversarial system, generative grammar, pattern recognition, and computer science. The authors propose a simple regularization scheme to handle the problem of mode missing and unstable training in the generative adversarial networks (GAN).