Construct · 1 fields · 1 citations

deep convolutional generative adversarial network: a standalone construct

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Machine learning

a class of generative adversarial networks built from convolutional layers under architectural constraints that make training stable and yield reusable image features.

In machine learning, deep convolutional generative adversarial network refers to a class of generative adversarial networks built from convolutional layers under architectural constraints that make training stable and yield reusable image features. This meaning comes from Radford (2015) in arXiv.[1]

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class3 fields · 3 citationsjingle · one word, three constructs generative adversarial network1 fields · 1 citationsanchor · a standalone construct image4 fields · 5 citationsjingle · one word, four constructs

References

Radford, A., Metz, L., & Chintala, S. (2015). Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks. arXiv. https://doi.org/10.48550/arxiv.1511.06434

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