Transcription of Generative Adversarial Nets
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Generative Adversarial Nets
Generative Adversarial NetsIan J. Goodfellow, Jean Pouget-Abadie , Mehdi Mirza, Bing Xu, David Warde-Farley,Sherjil Ozair , Aaron Courville, Yoshua Bengio D epartement d informatique et de recherche op erationnelleUniversit e de Montr ealMontr eal, QC H3C 3J7 AbstractWe propose a new framework for estimating Generative models via an adversar-ial process, in which we simultaneously train two models: a Generative modelGthat captures the data distribution, and a discriminative modelDthat estimatesthe probability that a sample came from the training data rather thanG. The train-ing procedure forGis to maximize the probability ofDmaking a mistake.
a generative machine by back-propagating into it include recent work on auto-encoding variational Bayes [20] and stochastic backpropagation [24]. 3 Adversarial nets The adversarial modeling framework is most straightforward to apply when the models are both …
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