Friendly Machine Learning For The Web.
ml5.js aims to make machine learning approachable for a broad audience of artists, creative coders, and students.
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"ml5.js provides immediate access in the browser to pre-trained models for detecting human poses, generating text, styling an image with another, composing music, pitch detection, and common English language word relationships"
@ml5js is a new high-level ML library on top of TensorFlow.js, built by folks who brought you @p5xjs.
I am quite excited about this project as it will make ML even more accessible to a wider range of developers: artists, creative coders, and students.
Congrats on the launch!
Checkout @ml5js, my fav new library! It's an awesome initiative to make #MachineLearning more accessible, fun, and interactive.
The examples are simple and great building blocks for other projects.
Was just as challenging as it was awesome to teach a workshop on #PoseNet to a packed room at @ITP_NYU Summer Camp! @ml5js and @p5xjs made it easy to get everyone up and running with their webcam. Looking forward to see what people make with this.
Excited for the beta launch of @ml5js is tomorrow, Jun 15 (Friendly Machine Learning for the Web). A library "to make ML accessible to a broad audience of artists, creative coders, and students." #tfjs
Congrats @shiffman@c_valenzuelab@ahandvanish!
ml5js.org
Big shout out to @ml5js and all the rad people working on this project. It has been amazing to see all the efforts @ITP_NYU to make #machinelearning friendlier ml5js.org/ Bravo!