The new era of ML in JavaScript
summary
JavaScript is closing the gap between web development and data science by letting models train and run where interfaces live, claiming end-to-end ML with TensorFlow.js, ml5.js and Brain.js and server-side inference on Node.js for real-time apps. Examples include browser face filters and live personalization; demos run entirely in the browser and can target mobile or microcontrollers via TensorFlow Lite. The claim: practical production ML without leaving the JS ecosystem.
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chapters (8)
- 0:00Introduction and speaker background
- 2:09AI as a tool not a creature
- 5:01Why JavaScript dominates web dev
- 8:55TensorFlow and ML in JavaScript
- 16:08Starting an ML project in JavaScript
- 17:12Node.js bridges web dev and ML
- 20:47JavaScript AI opportunities and demos
- 22:37Q&A and closing
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