Deep Learning, Artificial Intelligence, Convolutional Network, Generative Adversarial, Gan.
quality images. With 10 times of testing, and 5 of them succeeds to generate relatively good quality images. But for regular GANs, there is no successful learning. Regular GANs suffer from a severe degree of mode collapse. Comparison experiments by excluding batch normalization (BN). The generated