PinnedRiley LazarouinTowards Data ScienceI Generated Thousands of New Pokemon using AIand I am so, so sorry.Nov 27, 20207Nov 27, 20207
Riley LazarouinTowards Data ScienceThe Bias-Variance TradeoffA (Nearly) Stats-Free AdventureDec 10, 20211Dec 10, 20211
Riley LazarouinTowards Data ScienceBayesian ThinkingHow a Statistician Reacts to Life on VenusSep 19, 20206Sep 19, 20206
Riley LazarouinTowards Data ScienceHow to Build a DCGAN with PyTorchA Jump-Start GAN TutorialJun 26, 20203Jun 26, 20203
Riley LazarouinTowards Data SciencePyTorch and GANs: A Micro TutorialBuilding the Simplest of GANs in PyTorchJun 22, 20205Jun 22, 20205
Riley LazarouinTowards Data ScienceAutoencoding Generative Adversarial NetworksHow the AEGAN architecture stabilizes GAN training and prevents mode collapseApr 18, 20204Apr 18, 20204
Riley LazarouinTowards Data Sciencefrom sklearn import *…and other dead-giveaways that you’re a fake data scientistMar 22, 202024Mar 22, 202024
Riley LazarouinTowards Data ScienceWhy Do GANs Need So Much Noise?Visualizing how GANs learn in low-dimensional latent spacesFeb 26, 20201Feb 26, 20201
Riley LazarouinTowards Data ScienceGANs and Inefficient MappingsHow GANs tie themselves in knots and why that impairs both training and qualityJan 27, 20205Jan 27, 20205
Riley LazarouinTowards Data ScienceTraining a GAN to Sample from the Normal DistributionVisualizing the Very Basics of Generative Adversarial NetworksJan 12, 20202Jan 12, 20202
