Creating Pseudo Data with Generative Adversarial Networks (GANs)
There is not much data in many use cases to build robust models that can solve problems. GANs are one way in which we can generate artificial data such as images, text, audio, and more. Join us in this hands-on session where we understand how to build pseudo data with the help of GANs. The learning outcomes of this session include the following -
Introduction to GANs
Mathematics behind Generative Adversarial Networks (GANs)
Discussing a relevant research paper on the subject
Building a hands-on model for creating pseudo data for the Fashion industry
This session will be led by Hasan Ali, who is a Founder and Research Scientist at Pulp Vision AI. Based out of Sao Paulo, he builds and provides consultation as an AI researcher to various Fortune 500s and SMEs in the Energy sector. Apart from this, he is a passionate educator and contributes proactively to the community. Want to learn from him? Make sure to join us live this Saturday.