TensorFlow
An end-to-end open source machine learning platform for everyone. Discover TensorFlow's flexible ecosystem of tools, libraries and community resources.
Install TensorFlow 2
2023年3月24日 · Learn how to install TensorFlow on your system. Download a pip package, run in a Docker container, or build from source. Enable the GPU on supported cards.
Introduction to TensorFlow
TensorFlow makes it easy for beginners and experts to create machine learning models for desktop, mobile, web, and cloud. See the sections below to get started.
GitHub - tensorflow/tensorflow: An Open Source Machine …
TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications.
TensorFlow - A Neural Network Playground
We wrote a tiny neural network library that meets the demands of this educational visualization. For real-world applications, consider the TensorFlow library. This was created by Daniel Smilkov and Shan Carter.
TensorFlow - Wikipedia
TensorFlow is a software library for machine learning and artificial intelligence.
The TensorFlow Blog
2024年4月9日 · What's new in TensorFlow 2.13 and Keras 2.13? The TensorFlow blog contains regular news from the TensorFlow team and the community, with articles on Python, TensorFlow.js, TF Lite, TFX, and more.
New documentation on tensorflow.org — The TensorFlow Blog
2022年6月1日 · As Google I/O took place, we published a lot of exciting new docs on tensorflow.org, including updates to model parallelism and model remediation, TensorFlow Lite, and the TensorFlow Model Garden. Let's take a look at what new things you can learn about!
Tutorials | TensorFlow Core
2023年9月19日 · Complete, end-to-end examples to learn how to use TensorFlow for ML beginners and experts. Try tutorials in Google Colab - no setup required.
Demos — Web - Magenta
Web apps built with Magenta.js. This section includes browser-based applications, many of which are implemented with TensorFlow.js for WebGL-accelerated inference.
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