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Dear Fellow Scholars, this is Two Minute Papers with Kroly Zsolnai-Fehr. In this series, we frequently talk about Generative Adversarial networks, or GANs in short. This means a pair of neural networks that battle each over time to master a task, for instance, to generate realistic looking images from a written description. Here you see NVIDIAs amazing work that was able to dream up high-resolution images of imaginary celebrities. In the next episode, we will talk some more about their newest work that does something like this, and is even better at it, believe it or not. I hope you have subscribed to the channel to make sure not to miss out on that one. And for now, while we marvel at these outstanding results, I will quickly tell you about overfitting and what it has to do with images of celebrities. When we train a neural network, we wish to make sure that it understands the concepts we are trying to teach it. Typically, we feed it a database of labeled images, where the labels
