Build your own Generative Adversarial Networks (GANs) from Scratch

2,861.00

The course includes pre-recorded videos. ADaSci Members receive 50% discount.

Description

Generative Adversarial Networks (GANs) have generators and discriminators, which allows the researcher to generate more data. It is a class of machine learning designed by Ian Goodfellow and his colleagues in 2014. GANs are used in various applications today and considered as one of the top domains in future AI Applications.

With an increasing demand for professionals to have a hand on experience of the GANs technology, we are bringing an extensive workshop which will allow the developers to learn and implement their own (GANs) from Scratch.

Format: Pre-recorded Videos (More than 5hours) & 5 Colab Notebooks

Become ADaSci Chapter Lead

As a chapter lead, you will have the opportunity to connect with fellow data professionals in your area, share knowledge and resources, and work together to advance the field of data science.