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About

Basic GANs with variety of loss functions as an exercise for my Thesis with Prof. Randy Paffenroth. KL, Reverse-KL, JS and Wasserstein GAN.

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deep-neural-networks generative-adversarial-network gan kullback-leibler-divergence jensen-shannon-divergence kl-divergence synthetic-data wasserstein-gans

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