Generative adversarial network based on chaotic time series
Abstract Generative adversarial networks (GANs) are becoming increasingly important in the artificial construction of natural images and related functionalities, wherein two types of networks called generators and discriminators evolve through adversarial mechanisms. Using deep convolutional neural...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2019-09-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-019-49397-2 |