US Patent 11062179 Method and device for generative adversarial network training

An electronic device for neural network training includes at least one processor and one or more memories configured to provide or train: a generative adversarial network (GAN) using a generator and a discriminator for: receiving a plurality of training cases; and training the generative adversarial network, based on the plurality of training cases, to classify the training cases; wherein the generator generates hard negative examples for the discriminator.