Project information

• Tech Stack: DCGAN, Pytorch, Tensor, Batch Normalization, Adam Optimizer
• Project URL: https://github.com/RevanthPosina/Fake-Face-Generator-Using-DCGAN-Model

Built a Generator Network Model to generate new images of fake humans faces as realistic as possible.

Each transpose convolution layer is followed by Batch Normalization, Discriminator and Generator models are used to remove real and fake loss.

Training losses are recorded and plotted for Discriminator and Generator after each epoch.