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TTTerry Taointaot.hashnode.dev·Jan 24 · 4 min read

Grokking of MLP on Modular Addition

Background Grokking is a phenomenon where a model quickly achieves near-perfect training accuracy (memorization), while validation accuracy remains near chance (or even worse-than-chance) for a long time, and then later transitions sharply to strong ...

KJKhushal Jhaveriinbuilding-an-ai-that-understands-emotions.hashnode.dev·Apr 15, 2025 · 3 min read

📦 How I Used TF-IDF, Word2Vec, and MLPs to Analyze Sentiment in Amazon Reviews

So during one of my early NLP experiments, I came across a massive dataset of Amazon product reviews, and thought — can I train a model to automatically detect whether a review is positive, negative, or neutral? I knew that many people had done senti...