Computing systems with modularized infrastructure for training generative adversarial networks
A technique for infrastructure, computer systems, applied in the field of machine learning, capable of solving problems that do not exist in a meaningful way
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[0022] overview
[0023] Example aspects of the present disclosure relate to computing systems that provide a modular infrastructure for training generative adversarial networks (GANs). For example, a modular infrastructure could include lightweight libraries designed to make training and evaluating GANs easy. Users can easily train GANs by interacting with and / or relying on the modular infrastructure.
[0024] According to one aspect of the present disclosure, the modular infrastructure may include multiple different code sets that handle operations at and within various stages of the GAN training process. The code set may be modular. That is, the code sets can be designed to exist independently, but can be combined easily and intuitively. Thus, users can adopt some or all code sets, or can replace a code set with a custom code set, while still generating viable combinations.
[0025] More specifically, in some implementations, the modular infrastructure may include a c...
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