June 2020
Intermediate to advanced
382 pages
11h 39m
English
Content preview from 40 Algorithms Every Programmer Should Know
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Generative Adversarial Networks
Generative Adversarial Networks (GANs) are a type of neural network that generate synthetic data. They were created in 2014 by Ian Goodfellow and his colleagues. They can be used to generate photographs of people that have never existed. More importantly, they are used to generate synthetic data to augment training datasets.
In the upcoming section, we will see what transfer learning is.