September 17, 2021
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1:28:26Now PlayingSebastian's books
July 2021. Invited tutorial lecture at the International Summer School on Deep Learning, Gdansk.
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This lecture introduces the main concepts behind Generative Adversarial Networks (GANs) and explains the main ideas behind the objective function for optimizing the generator and discriminator subnetworks. Hands-on examples include GANs for handwrittten digit and face generation, implemented in PyTorch. Lastly, this talks summarizes some of the main milestone GAN architectures that emerged in recent years.
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