Develop ML models in JavaScript, and use ML directly in the browser or in Node.js.
Use off-the-shelf JavaScript models or convert Python TensorFlow models to run in the browser or under Node.js.
Retrain pre-existing ML models using your own data.
Build and train models directly in JavaScript using flexible and intuitive APIs.
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On this episode of TensorFlow Meets, Laurence talks with Yannick Assogba, software engineer on the TensorFlow.js team. Learn about training in the browser, and how TensorFlow.js pre-trained and custom models can help you solve your ML use cases.
In this talk, you will learn about the TensorFlow.js ecosystem: how to bring an existing machine learning model into your JS app, re-train the model using your data, and go beyond the browser to other JS platforms.
Learn about the Toxicity classifier, and how it’s possible to build entirely client-side text analysis models that run in close to real-time in the browser to combat toxic behaviors in online communities.
