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TensorFlow.js 是一个用于使用 JavaScript 进行机器学习开发的库
使用 JavaScript 开发机器学习模型，并直接在浏览器或 Node.js 中使用机器学习模型。
运行现有模型
使用现成的 JavaScript 模型或转换 Python TensorFlow 模型以在浏览器中或 Node.js 下运行。
使用 JavaScript 开发机器学习模型
使用灵活且直观的 API 直接用 JavaScript 构建和训练模型。
Holobooth
借助 Web 机器学习的强大功能，将自己置身于热带海滩、外太空和其他背景中。
[null,null,[],[],[],null,["# TensorFlow.js | Machine Learning for JavaScript Developers\n\nTensorFlow.js is a library for machine learning in JavaScript\n=============================================================\n\nDevelop ML models in JavaScript, and use ML directly in the browser or in Node.js. \n[See tutorials](/js/tutorials)\n\n\nTutorials show you how to use TensorFlow.js with complete, end-to-end examples.\n[See models](/js/models)\n\n\nPre-trained, out-of-the-box models for common use cases.\n[See demos](/js/demos)\n\n\nLive demos and examples run in your browser using TensorFlow.js. \n\nHow it works\n------------\n\n#### Run existing models\n\nUse off-the-shelf JavaScript models or convert Python TensorFlow models to run in the browser or under Node.js. \n[Use official TensorFlow.js models](/js/models) [Convert Python models](/js/tutorials#convert_pretained_models_to_tensorflowjs) \n\n#### Retrain existing models\n\nRetrain pre-existing ML models using your own data. \n[Use Transfer Learning to customize models](/js/tutorials/transfer/what_is_transfer_learning) \n\n#### Develop ML with JavaScript\n\nBuild and train models directly in JavaScript using flexible and intuitive APIs. \n[Get started with TensorFlow.js](/js/tutorials) \n\nDemos\n-----\n\n[Performance RNN](https://magenta.tensorflow.org/demos/performance_rnn/index.html#2%7C2,0,1,0,1,1,0,1,0,1,0,1%7C1,1,1,1,1,1,1,1,1,1,1,1%7C1,1,1,1,1,1,1,1,1,1,1,1%7Cfalse) \nEnjoy a real-time piano performance by a neural network. \n[Explore demo](https://magenta.tensorflow.org/demos/performance_rnn/index.html#2%7C2,0,1,0,1,1,0,1,0,1,0,1%7C1,1,1,1,1,1,1,1,1,1,1,1%7C1,1,1,1,1,1,1,1,1,1,1,1%7Cfalse) [View code](https://github.com/tensorflow/magenta-demos/tree/master/performance_rnn) \n[Webcam Controller](https://storage.googleapis.com/tfjs-examples/webcam-transfer-learning/dist/index.html) \nPlay Pac-Man using images trained in your browser. \n[Explore demo](https://storage.googleapis.com/tfjs-examples/webcam-transfer-learning/dist/index.html) [View code](https://github.com/tensorflow/tfjs-examples/tree/master/webcam-transfer-learning) \n[Holobooth](https://holobooth.flutter.dev/) \nTransport yourself to a tropical beach, outer space, and elsewhere with the power of web ML. \n[Explore demo](https://holobooth.flutter.dev/) [View code](https://github.com/flutter/holobooth) \n[See all demos](/js/demos) \n\nNews \\& announcements\n---------------------\n\nCheck out our [blog](https://blog.tensorflow.org/search?label=TensorFlow.js&max-results=20) for additional updates, and subscribe to our TensorFlow newsletter to get the latest announcements sent directly to your inbox. \n[Sign up](/subscribe) \n\nCommunity participation\n-----------------------\n\nSee more ways to participate in the TensorFlow community. \n[Community](/community) \n[Made with TensorFlow.js demos](https://www.youtube.com/playlist?list=PLQY2H8rRoyvzSZZuF0qJpoJxZR1NgzcZw) \n[TensorFlow.js on GitHub](https://github.com/tensorflow/tfjs) \n[Ask a question on TensorFlow Forum](https://discuss.ai.google.dev/c/tensorflow/21) \n[Stack Overflow](https://stackoverflow.com/questions/tagged/tensorflow.js) \n[Issues, bug reports, and feature requests](https://github.com/tensorflow/tfjs/issues) \n[Announcement-only mailing list](https://groups.google.com/a/tensorflow.org/forum/#!forum/tfjs-announce) \n[Join the TF.js Special Interest Group](https://github.com/tensorflow/community/blob/master/sigs/tf.js/CHARTER.md) \n[Explore Dev Library community projects](https://devlibrary.withgoogle.com/products/ml) \n\nGet started with TensorFlow.js\n------------------------------\n\n[Explore tutorials](/js/tutorials)"]]
