PinnedPublished inTDS ArchiveCourage to Learn ML: Tackling Vanishing and Exploding Gradients (Part 2)A Comprehensive Survey on Activation Functions, Weights Initialization, Batch Normalization, and Their Applications in PyTorchMay 3, 2024May 3, 2024
PinnedPublished inHuman PartsAn Unfiltered Review of My Parenting So FarAnd it’s been good.Feb 29, 2024A response icon12Feb 29, 2024A response icon12
PinnedPublished inTDS ArchiveCourage to Learn ML: A Detailed Exploration of Gradient Descent and Popular OptimizersAre You Truly Mastering Gradient Descent? Use This Post as Your Ultimate CheckpointJan 9, 2024A response icon6Jan 9, 2024A response icon6
Published inData Science CollectiveMy learning to being hired again after a year… Part 2One Year Later: What I Learned Still Matters2d agoA response icon42d agoA response icon4
Published inHuman PartsBeing My Kid’s Second-Favorite MomAnd Why That’s the Best Thing That Ever Happened to MeMay 7May 7
Keep Learning Like the AI Models DoAfter being a TA at OMSCS for nearly four years, this is what I wish every ML learner could hearMar 17A response icon1Mar 17A response icon1
Why I’m Taking a Step Back from Medium: Three Big Reasons and What’s Coming NextI’m Not Quitting — Just Moving to a New Home! All My Medium Posts Stay, and My Future Writing Is Free. Come Join Me on Layers of Curiosity!Feb 9Feb 9
Published inTDS ArchiveMy learning to being hired again after a year… Part IFor anyone job hunting, not just tech folksJun 23, 2024A response icon5Jun 23, 2024A response icon5
Published inTDS ArchiveCourage to Learn ML: Tackling Vanishing and Exploding Gradients (Part 1)Melting Away DNN’s Gradient Challenges: A Scoop of Solutions and InsightsFeb 5, 2024A response icon1Feb 5, 2024A response icon1
Published inTDS ArchiveCourage to Learn ML: Explain Backpropagation from Mathematical Theory to Coding PracticeTransforming Backpropagation’s Complex Math into Manageable and Easy-to-Learn BitesJan 17, 2024A response icon1Jan 17, 2024A response icon1