Generating Synthetic Data With GANs - Marta Batlle López

Generating Synthetic Data With GANs - Marta Batlle López

Do we have enough data? Are our datasets imbalanced? How can we accelerate research while avoiding data leakage? Generative Adversarial Networks (GANs) are a promising AI solution to these questions. With GANs, we can generate more and better data that is more fair and generalizable, which can be used to improve ML models and algorithm testing. GANs are also promising in the field of data privacy, since they could break barriers to data sharing, allowing companies and institutions to accelerate research findings. .

Magnimind Academy TV Presents - November 2021

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We are serving with the purpose of creating a different World that is wiser, and open to innovation. We believe the World will be a better place with the help of science and belief of human beings that they can achieve everything with the intention of serving for the good.

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