InShort: Pruning DNNs at Initialization and SynFlowIn this article, I would like to provide an intuition about a very exciting and recent topic in deep learning: pruning at initialization.Nov 9Nov 9
Published inTowards Data ScienceOn AI ArtIs AI art, art? Yes. Should you sell AI art? Probably not.Dec 30, 2022Dec 30, 2022
Published inTowards Data ScienceBasics: Gradient*Input as ExplanationA simple method for simple functions.Feb 20, 2021Feb 20, 2021
Published inTowards Data ScienceInShort: Occlusion Analysis for Explaining DNNsPerhaps the simplest method to figure out why your model fails.Jan 20, 2021Jan 20, 2021
Published inTowards Data ScienceIs Generative Art for You?About the ups and downs of creating visual generative art.Jan 13, 2021Jan 13, 2021
Published inTowards Data ScienceFundamental Elements Of Generative ArtAn exploration of basic compositional methods of computer-generated visual art.Jan 12, 2021Jan 12, 2021
Published inTowards Data ScienceInDepth: Explaining DNNs with GradientsGradients, SmoothGrad, and Integrated Gradients as machine learning explanations, explained.Jan 12, 20211Jan 12, 20211
Published inTowards Data ScienceDeep Learning, Meet Clever HansAn article about hidden mistakes made by DNNs, why they are really not mistakes, and a German horse.Aug 15, 20201Aug 15, 20201
Published inTowards Data ScienceRegularization in Machine LearningThe key to making deep neural nets generalize.Apr 26, 2020Apr 26, 2020
Published inTowards Data ScienceBasics: Multicollinearity and InterpretabilityOne of the basic blunders of the rash data scientist.Feb 16, 2020Feb 16, 2020
