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GANs have been developed on the HPCC Platform by defining the Generator and Discriminator models separately, and training them by batches in the same epoch. In order to make sure that they train as adversaries, a certain weights transfer methodology was implemented. MNIST dataset which has been used to test the proposed approach has provided satisfactory results. The results obtained were unique images very similar to the MNIST dataset, as it were expected.
Presentation
In this Video Recording, Ambu provides a tour and explanation of his poster content.
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