TensorFlow.js adalah perpustakaan untuk pembelajaran mesin dalam JavaScript
Kembangkan model ML dalam JavaScript, dan gunakan ML langsung di browser atau di Node.js.
Bagaimana itu bekerja
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.
Demo
Mainkan Pac-Man menggunakan gambar yang dilatih di browser Anda.
Bawa diri Anda ke pantai tropis, luar angkasa, dan tempat lain dengan kekuatan web ML.
What's new in TensorFlow 2.19
TensorFlow 2.19 has been released! Highlights of this release include changes to the C++ API in LiteRT, bfloat16 support for tflite casting, discontinue of releasing libtensorflow packages. Learn more by reading the full release notes. Note: Release
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Introducing Wake Vision: A High-Quality, Large-Scale Dataset for TinyML Computer Vision Applications
TinyML is an exciting frontier in machine learning, enabling models to run on extremely low-power devices such as microcontrollers and edge devices. However, the growth of this field has been stifled by a lack of tailored large and high-quality
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5 Desember 2024
MLSysBook.AI: Principles and Practices of Machine Learning Systems Engineering
If ML developers are like astronauts exploring new frontiers, ML systems engineers are the rocket scientists designing and building the engines that take them there. "Everyone wants to do modeling, but no one wants to do the engineering," highlights
TensorFlow
19 November 2024
What's new in TensorFlow 2.18
TensorFlow 2.18 has been released! Highlights of this release (and 2.17) include NumPy 2.0, LiteRT repository, CUDA Update, Hermetic CUDA and more. For the full release notes, please click here. Note: Release updates on the new multi-backend Keras
TensorFlow
28 Oktober 2024
Partisipasi komunitas
Lihat cara lainnya untuk berpartisipasi dalam komunitas TensorFlow.
