How can neural networks learn the rich internal representations required for difficult tasks such as recognizing objects or understanding language?
Yoshua Bengio
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Generative Adversarial Networks
In this overview paper, we describe one particular approach to unsupervised learning via generative modeling called generative adversarial networks. We briefly review applications of GANs and identify core research problems related to convergence in games necessary to make GANs a reliable technology.
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