12. April 2019 15:26
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gan

https://towardsdatascience.com/must-read-papers-on-gans-b665bbae3317

https://github.com/soumith/ganhacks

https://medium.com/@jonathan_hui/gan-why-it-is-so-hard-to-train-generative-advisory-networks-819a86b3750b

https://skymind.ai/wiki/generative-adversarial-network-gan

https://medium.com/@utk.is.here/keep-calm-and-train-a-gan-pitfalls-and-tips-on-training-generative-adversarial-networks-edd529764aa9