ml5.js - Friendly machine learning for the web

Опубликовано 11 ноября 2024, 18:02

Join Aidan Nelson and Yu Lee in this talk that will showcase ml5.js - an open source library built on top of TensorFlow.js with a goal of making machine learning approachable for a broad audience of artists, creative coders, and students. This project has been built as a collaborative effort at NYU’s ITP Program, drawing inspiration from Processing and the p5.js project’s focus on making coding accessible and inclusive. ml5.js aims to expand this mission to the domain of machine learning, bridging the gap between the technical complexity of machine learning and the creativity of beginners and artists.

Try ML5.js → goo.gle/40cCupn

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Speakers: Aiden Nelson, Yu Lee
Products mentioned: AI for the web, Google Chrome Browser, Chrome Browser Automation, Chrome Extensions, Chrome, Chrome Web Platform, Web AI, Web apps, Web Assembly (Wasm), Web Platform in Chrome, WebAssembly for Chrome, WebGPU, CodeGemma, Gemma 2, Gemma, RecurrentGemma, Generative AI, AI, Google AI, Google AI Edge, Responsible AI, Kaggle Models, LiteRT, TensorFlow, Hugging Face Models