Generative Adversarial Network architecture | |
Generative Adversarial Networks (GANs) are powerful neural networks used for unsupervised learning. They consist of a discriminator and a generator. Through adversarial training, GANs produce data nearly identical to real data. At Xonique, we leverage GANs where the generator creates new data, and the discriminator evaluates its authenticity until it can't distinguish between real and generated data. | |
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Target Nation: All Nations Target City : San Diego, CA, USA Last Update : 22 July 2024 12:38 PM Number of Views: 41 | Item Owner : Darshan Kothari Contact Email: Contact Phone: 8584920079 |
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