Author(s): Youssef Hosni

Originally published on Towards AI.

Table of Content:

Generative Adversarial Networks (GANs) are a type of deep learning architecture that has become increasingly popular for generating new and realistic data, such as images, videos, and audio.

Building a GAN model is one thing, but deploying it as a user-friendly web application is another challenge altogether. In this two-part article, we will explore how to build and deploy a GAN Streamlit web application on the Heroku platform.

In part 1 we will cover the background and problem statement, set up the working environment, load a pre-trained GAN model and images, and build the Streamlit web application. Part 2 will focus on… Read the full blog for free on Medium.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI