Crossminds - Latest Tech Research Videos
Name:
Generative Adversarial Networks
Full Name:
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Type:
sub-field
Description:
A framework for estimating generative models via an adversarial process, in which we simultaneously train two models: a generative model G that captures the data distribution, and a discriminative model D that estimates the probability that a sample came from the training data rather than G.