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DCGAN

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
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  • DCGAN is a convolutional GAN architecture that stabilizes training and improves image quality. It replaces fully connected layers with strided and fractionally strided convolutions, uses batch normalization and simple activation rules, and became a standard baseline for unsupervised image synthesis and feature learning.
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    Released 10y ago
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