PinnedAmy MainTowards Data ScienceCourage 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 3May 3
PinnedAmy MainHuman PartsAn Unfiltered Review of My Parenting So FarAnd itโs been good.Feb 2913Feb 2913
PinnedAmy MainTowards Data ScienceCourage to Learn ML: A Detailed Exploration of Gradient Descent and Popular OptimizersAre You Truly Mastering Gradient Descent? Use This Post as Your Ultimate CheckpointJan 96Jan 96
Amy MainTowards Data ScienceCourage to Learn ML: Tackling Vanishing and Exploding Gradients (Part 1)Melting Away DNNโs Gradient Challenges: A Scoop of Solutions and InsightsFeb 51Feb 51
Amy MainTowards Data ScienceCourage to Learn ML: Explain Backpropagation from Mathematical Theory to Coding PracticeTransforming Backpropagationโs Complex Math into Manageable and Easy-to-Learn BitesJan 17Jan 17
Amy MainTowards Data ScienceCourage to Learn ML: An In-Depth Guide to the Most Common Loss FunctionsMSE, Log Loss, Cross Entropy, RMSE, and the Foundational Principles of Popular Loss FunctionsDec 28, 2023Dec 28, 2023
Amy MaRelax Your Butt and Be Gentle with YourselfMy Personal Tale and a Heartfelt Message to the Recently Laid OffDec 18, 2023Dec 18, 2023
Amy MainTowards Data ScienceCourage to Learn ML: A Deeper Dive into F1, Recall, Precision, and ROC CurvesF1 Score: Your Key Metric for Imbalanced DataโโโBut Do You Really Know Why?Dec 17, 20231Dec 17, 20231
Amy MainTowards Data ScienceCourage to Learn ML: Demystifying L1 & L2 Regularization (part 4)Explore L1 & L2 Regularization as Bayesian PriorsDec 11, 2023Dec 11, 2023
Amy MainTowards Data ScienceCourage to Learn ML: Decoding Likelihood, MLE, and MAPWith A Tail of Cat Food PreferencesDec 3, 20234Dec 3, 20234