AI Art using Generative Adversarial Networks

This project aims to work on developing AI models based on Generative Adversarial Network(GANs) to draw art portraits using GAN models and work on efficiency using mathematical and statistical measures like the golden ratio. The main objective of the project is to develop and model the Generative Adversarial Network (GANs) and train them to draw art portraits. The project also aims to work on the efficiency of Discriminator learning to produce better results.