Udacity DLND final project . Use GAN generate face

Using Generative Adversarial Neural Networks to generate new faces

Using generative adversarial networks to generate new images of faces (datasets: MNIST, CelebA).

I have used Deep Convolutional Generative Adversarial Networks for generating faces and mnist images

DCGAN that generates realistic human faces.

Generating faces using DCGANs

GAN that can generate face images.

Generated never before seen faces from a dataset of Celebrity Faces

using GANs generate face.

Face generation using generative adversarial networks to generate new images

Generating faces through GANs - Project 5

Generating faces using GANs - Part of Udacity Deep Learning Nanodegree

Generate new faces using GAN made in PyTorch.

Face generation with DCGAN

Defined and trained a DCGAN on a dataset of faces. The Goal of this project is to generate new images of faces that look as realistic as possible.

Face generation project using GAN

DCGAN architecture to generate faces from CelebA dataset, made with ❤️ in PyTorch. Do 🌟 the repo if you find it useful.

Udacity Deep Learning Nanodegree Face Generation PyTorch Project using DCGAN

Using DCGAN architecture to generate faces from CelebA dataset containing faces of some celebrities, made in PyTorch. Do 🌟 the repo if you find it useful.

This Repository consists of all deep learning projects which are Face Generation GAN, Bike sharing, Dog Breed Classifier, TV Script Generation.