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Jan 15, 2020 | Webinar

Generative Adversarial Networks (GAN): A Distilled Hands-On Tutorial

Are you a data scientist interested in training a classifier but do not have enough data? Are you interested in generating data to potentially improve the accuracy of your models? Have you heard of GANs yet are hesitant to dive in because of potential training instability or failure to converge issues? If so, attend this upcoming webinar, "Generative Adversarial Networks (GAN): A Distilled Hands-On Tutorial", by Nikolay Manchev, Domino Principal Data Scientist for EMEA.

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