A Beginner’s Guide to Generative Adversarial Networks (GANs) | Pathmind

A Beginner’s Guide to Generative Adversarial Networks (GANs) You might not think that programmers are artists, but programming is an extremely creative profession. It’s logic-based creativity. – John Romero Generative Adversarial Network Definition Generative adversarial networks (GANs) are algorithmic architectures that use two neural networks, pitting one against the other (thus the “adversarial”) in order to generate new, synthetic instances of data that can pass for real data. They are used widely in i

Source: A Beginner’s Guide to Generative Adversarial Networks (GANs) | Pathmind


 
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