Closed a411919924 closed 4 years ago
Thanks for your attention. It is inconsistent with origin paper. DCGAN in PaddlePaddle developed based on https://github.com/carpedm20/DCGAN-tensorflow, it uses linear in the network, and the result seems not bad than origin paper, so I guess fully-connected layer or convolution layer is not that important for the last layer.
Thanks for the quick response and good explanation.
The original DCGAN proposed to replace all fully connected layers with convolutional layers. But in the DCGAN implementation in PaddlePaddle, the developer used a fully connected layer as the last layer in both the generator and discriminator. This may raise an inconsistent result.