PinnedInTDS ArchivebyAndre Ye·Sep 11, 2022Deep Learning Is Not ‘Worse’ than Trees on Tabular DataMoving beyond classical conceptions of what tabular data can beA response icon2A response icon2
PinnedInDataSeriesbyAndre Ye·Jul 16, 202224 Really F***ing Interesting Deep Learning PapersWith links and brief summariesA response icon10A response icon10
PinnedInTDS ArchivebyAndre Ye·Jul 7, 2020Some Call it Genius, Others Call it Stupid: The Most Controversial Neural Network Ever CreatedThe Extreme Learning MachineA response icon12A response icon12
PinnedInTDS ArchivebyAndre Ye·Sep 12, 2020The Beauty of Bayesian Optimization, Explained in Simple TermsThe intuition behind an ingenious algorithmA response icon1A response icon1
InTDS ArchivebyAndre Ye·Jun 22, 2023Recurrent Neural Networks, Explained and Visualized from the Ground UpWith an application to machine translation
InTDS ArchivebyAndre Ye·Apr 22, 2023What Does It Really Mean for an Algorithm to ‘Learn’?Two general perspectives and some psychologyA response icon5A response icon5
InTDS ArchivebyAndre Ye·Sep 26, 2022An Equation for IntelligenceFrom Francois Chollet: “On the Measure of Intelligence”
Andre Ye·Jan 26, 2022Reviewing Nota AI’s NetsPresso Compression ToolkitNo-Hassle Deep Learning Model Compression
Andre Ye·Jan 20, 2022Compress Your Deep Learning Models with No Code, No HassleNota’s (Free) NetsPresso Compression Toolkit
InTDS ArchivebyAndre Ye·Dec 7, 2021The Dark Side of Transfer LearningSecurity Vulnerabilities in Pretraining with Base/Foundation Models
