Generative Adversarial Networks (GANs) are a Deep Learning framework where two neural networks compete against each other in a generative game similar to cops and robbers. This method, introduced by Goodfellow in 2014, has gained popularity as an effective way to generate complex visual, auditory, and written content. We will explore the basic concepts, use cases, and code behind GANs.
1. Intro and Welcome (5 minutes)
2. Talk (~1 hour)
3. Questions (5 minutes)