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Develop, validate, deliver, and monitor models with an open technology platform. Use your choice of tools, infrastructure, and languages. Learn more about the platform.
Develop and deliver models faster using your favorite tools and languages without worrying about DevOps, with scalable infrastructure that automatically tracks your work.
Centralized data science infrastructure to run data science workloads in one place, with self-service access to tools and infrastructure, in the cloud or on-prem.
Are you interested in generating data to improve model accuracy? Are you concerned about training instability or failure to converge issues? Join this upcoming webinar about GANs, presented by our Principal Data Scientist for EMEA.
This webinar will cover the GAN framework, how to implement a basic GAN model, how adversarial networks are used to generate training samples, training difficulties, and recent research to improve upon GANs' training, including Wasserstein GAN (WGAN).
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