(57) ABSTRACT A generative adversarial neural network (GAN) learns a particular task by being shown many examples. In one scenario, a GAN may be trained to generate new …
N Murray - US Patent App. 17/024,030, 2021 - Google Patents
(22) Filed: Sep. 17, 2020 (30) Foreign Application Priority Data Sep. 24, 2019 (EP) 19306188 A generative adversarial network, a ethod of training a generator neural network …
S Zhong - US Patent 11,048,980, 2021 - Google Patents
A method of training a generator G of a Generative Adversarial Network (GAN) includes receiving, by an encoder E, a target data Y; receiving, by the encoder E, an output G (Z) of …
J Shor, SG Cotado - US Patent 11,710,300, 2023 - Google Patents
Computing systems that provide a modularized infrastructure for training Generative Adversarial Networks (GANs) are provided herein. For example, the modularized …
Y Wang, J Wang - US Patent 11,636,695, 2023 - Google Patents
US11636695B2 - Method for synthesizing image based on conditional generative adversarial network and related device - Google Patents US11636695B2 - Method for …
S Wang, S Yanyan, W Zhang - US Patent App. 16/999,118, 2020 - Google Patents
The present disclosure relates to an enhanced generative adversarial network and a target sample recognition method. The enhanced generative adversarial network in the present …
D Terjek - US Patent 11,651,205, 2023 - Google Patents
Generative adversarial networks (GANs) are methods of unsupervised machine learning. GANs include two artificial neuronal networks: a generator and a discriminator. The input …
Embodiments of the present disclosure relate to a technique for training neural networks, such as a generative adversarial neural network (GAN), using a limited amount of data …