DCGAN

https://distill.pub/2016/deconv-checkerboard/

• Using upsampling instead of transposed convolution is recommended to avoid checkerboard artifacts
  

#nn.ConvTranspose2d(ngf, nc, 4, 2, 1, bias=False),
nn.Upsample(scale_factor=2, mode="nearest"),
nn.Conv2d(ngf, nc, 3, 1, 1, bias=False),
nn.Tanh()

PyTorch Example of DCGAN:
https://github.com/pytorch/examples/tree/main/dcgan

https://sorabatake.jp/18467/

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