• Corpus ID: 248563006

A universal training scheme and the resulting universality for machine learning phases

@inproceedings{Yseng2022AUT,
  title={A universal training scheme and the resulting universality for machine learning phases},
  author={Y.-H. Yseng and Feng Jiang and C.-Y. Huang},
  year={2022}
}
An autoencoder (AE) and a generative adversarial networks (GANs) are trained only once on a one-dimensional (1D) lattice of 200 sites. Moreover, the AE contains only one hidden layer consisting of two neurons and both the generator and the discriminator of the GANs are made up of two neurons as well. The training set employed to train both the considered unsupervised neural networks (NN) is composed of two artificial configurations. Remarkably, despite their simple architectures, both the built… 

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