Online Kernel based Generative Adversarial Networks

One of the major breakthroughs in deep learning over the past five years has been the Generative Adversarial Network (GAN), a neural network-based generative model which aims to mimic some underlying distribution given a dataset of samples. In contrast to many supervised problems, where one tries to...

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Veröffentlicht in:	arXiv.org 2020-06
Hauptverfasser:	Youn, Yeojoon, Thistlethwaite, Neil, Choe, Sang Keun, Abernethy, Jacob
Format:	Artikel
Sprache:	eng
Schlagworte:	Cycles Datasets Generative adversarial networks Kernels Machine learning Neural networks Parameters Training
Online-Zugang:	Volltext
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