Introduction to GANS for Image and Data Generation (7.1)

GANs are a powerful neural network architecture composed of a discriminator and generator. We can teach a GAN to create synthetic data when given an example training set of actual data. In this video, we begin looking at NVIDIA StyleGAN3 and how to use the pretrained network provided by NVIDIA to generate realistic-looking synthetic faces.

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https://github.com/jeffheaton/t81_558_deep_learning/blob/master/t81_558_class_07_1_gan_intro.ipynb
Course Homepage: https://sites.wustl.edu/jeffheaton/t81-558/

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