PinnedPublished inTDS ArchiveI Generated Thousands of New Pokemon using AIand I am so, so sorry.Nov 27, 2020A response icon7Nov 27, 2020A response icon7
Published inTDS ArchiveThe Bias-Variance TradeoffA (Nearly) Stats-Free AdventureDec 10, 2021A response icon1Dec 10, 2021A response icon1
Published inTDS ArchiveBayesian ThinkingHow a Statistician Reacts to Life on VenusSep 19, 2020A response icon6Sep 19, 2020A response icon6
Published inTDS ArchiveHow to Build a DCGAN with PyTorchA Jump-Start GAN TutorialJun 26, 2020A response icon3Jun 26, 2020A response icon3
Published inTDS ArchivePyTorch and GANs: A Micro TutorialBuilding the Simplest of GANs in PyTorchJun 22, 2020A response icon5Jun 22, 2020A response icon5
Published inTDS ArchiveAutoencoding Generative Adversarial NetworksHow the AEGAN architecture stabilizes GAN training and prevents mode collapseApr 18, 2020A response icon4Apr 18, 2020A response icon4
Published inTDS Archivefrom sklearn import *…and other dead-giveaways that you’re a fake data scientistMar 22, 2020A response icon24Mar 22, 2020A response icon24
Published inTDS ArchiveWhy Do GANs Need So Much Noise?Visualizing how GANs learn in low-dimensional latent spacesFeb 26, 2020A response icon1Feb 26, 2020A response icon1
Published inTDS ArchiveGANs and Inefficient MappingsHow GANs tie themselves in knots and why that impairs both training and qualityJan 27, 2020A response icon5Jan 27, 2020A response icon5
Published inTDS ArchiveTraining a GAN to Sample from the Normal DistributionVisualizing the Very Basics of Generative Adversarial NetworksJan 12, 2020A response icon2Jan 12, 2020A response icon2
