Good luck using generative adversarial networks in real life – they’re difficult to train and finicky to fix

An AI engineer recounts his previous woes to The Register

Generative adversarial networks (GANs) are a brilliant idea: get two neural networks and pit them against each other to get a machine to generate completely new, realistic looking images. But in practice they are notoriously difficult to train and deploy, as one engineer told El Reg.…

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