Skip to content

Generative Adversarial Network to construct human faces. The model is trained on a subset of 17000 images from famous CelebA dataset. The training loop loads only 1000 images at a single time to reduce computing demands for training. Convolutional layers have been used in both Generator and Discriminator NN.

Notifications You must be signed in to change notification settings

hasnainist/FaceGAN

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 
 
 

Repository files navigation

About

Generative Adversarial Network to construct human faces. The model is trained on a subset of 17000 images from famous CelebA dataset. The training loop loads only 1000 images at a single time to reduce computing demands for training. Convolutional layers have been used in both Generator and Discriminator NN.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages