Generate faces with Generative Adversarial Networks
Generated faces of females(top) and males
Implementation of a Generative Adversarial Network (GAN) that generates faces with specified features. The network was trained on the CelebA dataset and was implemented using Pytorch. It was the project for the course of deep learning at the University of Trento.
Simone Zamboni
Machine Learning Research Engineer
Engineer passionate about large language models and robotics.