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📰 Dev.to · syamaner

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Part 4: Edge Deployment of an 86M Parameter Audio Transformer

Dev.to · syamaner 📐 ML Fundamentals ⚡ AI Lesson 2mo ago

Part 4: Edge Deployment of an 86M Parameter Audio Transformer

Post 3 ended with three numbers: 97.4% test accuracy, 100% precision, 0 false positives. All of it...

Part 3: The Science - Hyperparameter Tuning & Getting to 100% Precision with Warp/Oz

Dev.to · syamaner 📐 ML Fundamentals ⚡ AI Lesson 2mo ago

Part 3: The Science - Hyperparameter Tuning & Getting to 100% Precision with Warp/Oz

Part 2 ended with a dataset: 973 annotated 10-second chunks from 15 roasting sessions,...

Part 1: The Architecture & The Agent - Spec-Driven ML Development With Warp/Oz

Dev.to · syamaner 3mo ago

Part 1: The Architecture & The Agent - Spec-Driven ML Development With Warp/Oz

Last year I built a prototype coffee first crack detector and wrote about it in a 3-part series. The...

Part 1: Training a Neural Network to Detect Coffee First Crack from Audio - An Agentic Development Journey with Warp Agent

Dev.to · syamaner 🤖 AI Agents & Automation 8mo ago

Part 1: Training a Neural Network to Detect Coffee First Crack from Audio - An Agentic Development Journey with Warp Agent

When it comes to coffee, everyone has their preferences. I usually prefer smooth, naturally sweet...