This program is Generative Adversarial Net,and generate images. The generation of confrontation network is a generative model (Generative Model). The basic idea behind it is to get many training samples from the training library, so as to learn the probability distribution of these training cases. The realization of the method is to let the two networks compete with each other, 'play a game'. One is called Generator Network, which constantly captures the probability distribution of real pictures in training libraries, and transforms the input random noise (Random Noise) into new samples (that is, false data). Another method is called network (Discriminator Network), it can observe the true and false data, determine the data in the end is not really."

Filename	Size	Update
fb729796ea010ad9d67f959b4099782a	462336	2018-01-10

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