Baru dalam pembelajaran mesin? Tonton video kursus untuk mendapatkan pengetahuan praktis tentang ML menggunakan teknologi web
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Tetap teratur dengan koleksi
Simpan dan kategorikan konten berdasarkan preferensi Anda.
TensorFlow.js adalah perpustakaan untuk pembelajaran mesin dalam JavaScript
Kembangkan model ML dalam JavaScript, dan gunakan ML langsung di browser atau di Node.js.
Jalankan model yang ada
Gunakan model JavaScript siap pakai atau konversikan model Python TensorFlow untuk dijalankan di browser atau di bawah Node.js.
Melatih kembali model yang ada
Latih kembali model ML yang sudah ada menggunakan data Anda sendiri.
Kembangkan ML dengan JavaScript
Bangun dan latih model secara langsung dalam JavaScript menggunakan API yang fleksibel dan intuitif.
Kinerja RNN Nikmati pertunjukan piano real-time melalui jaringan saraf.
Holobooth Bawa diri Anda ke pantai tropis, luar angkasa, dan tempat lain dengan kekuatan web ML.
[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)"]]
