Generative Adversarial Networks (GANs) are one of the most interesting ideas in computer science today. Two models are trained simultaneously by an adversarial process. A generator learns to create images that look real, while a discriminator learns to tell real images apart from fakes. This project aims to use a deep convolutional GAN to generate Pokemons and classify their types. Visit the website at Pokemon Generator.

Documentation

Code for this project can be found in GitHub repository.

Dependencies

Install Express in the root directory and save it in the dependencies list. For example:

npm install express --save

To install Express temporarily and not add it to the dependencies list:

npm install express --no-save