A Solvable High-Dimensional Model of GAN

NeurIPS 2019 Chuang WangHong HuYue M. Lu

We present a theoretical analysis of the training process for a single-layer GAN fed by high-dimensional input data. The training dynamics of the proposed model at both microscopic and macroscopic scales can be exactly analyzed in the high-dimensional limit... (read more)

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