DCGAN, or Deep Convolutional GAN, is a generative adversarial network architecture. It uses a couple of guidelines, in particular:
Paper | Code | Results | Date | Stars |
---|
Task | Papers | Share |
---|---|---|
Image Generation | 22 | 24.72% |
Translation | 5 | 5.62% |
Image Classification | 3 | 3.37% |
Conditional Image Generation | 3 | 3.37% |
Image-to-Image Translation | 2 | 2.25% |
Anomaly Detection | 2 | 2.25% |
Decoder | 2 | 2.25% |
Medical Image Generation | 2 | 2.25% |
Object Detection | 2 | 2.25% |
Component | Type |
|
---|---|---|
Batch Normalization
|
Normalization | |
Convolution
|
Convolutions | |
Leaky ReLU
|
Activation Functions | |
ReLU
|
Activation Functions |