Many institutions and companies do not possess the AI expertise to make use of their data, therefore they need they need to collaborate with external AI experts; however, many datasets contain information so confidential that cannot be shared with third parties. A solution to this problem is offered by GanApp.

GanApp is a software synthesizing artificial data that can be used for developing AI applications: the generated data are statistically similar to the original table while contain only novel information, thus preserving the data confidentiality of the original data. The software is based on a deep learning AI methods; most of the are Generative Adversarial Networks (GAN). GanApp accepts as input any type of tabular data, that are any data that can be expressed in the form of a table.

SEND AN EMAIL TO info@machine2learn.nl TO TRY GANAPP.


GanApp Tutorial
In this tutorial we will learn how to work with GanApp using well-known Titanic dataset.

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