TensorFlow
An end-to-end open source machine learning platform for everyone. Discover TensorFlow's flexible ecosystem of tools, libraries and community resources.
TensorFlow is an open-source software library for dataflow and differentiable programming across a range of tasks. It is a symbolic math library, and is also used for machine learning applications such as neural networks.
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Citation Level
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English, etc
Website Key Features
Flexible
TensorFlow allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
Scalable
It can run on multiple CPUs and GPUs, and on mobile operating systems, and has wrappers in several languages.
Production-Ready
TensorFlow provides stable Python and C++ APIs, as well as non-guaranteed backward compatible API for other languages.
Community Support
A large and active community of developers and researchers contribute to TensorFlow, providing a wealth of resources and support.
Extensive Libraries
TensorFlow offers 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.
TensorBoard
A suite of visualization tools to help you understand, debug, and optimize TensorFlow programs.
Auto-Differentiation
Automatically computes gradients for machine learning models, simplifying the process of training complex models.
Cross-Platform
Supports running on multiple platforms and devices, from servers to edge devices.
Model Zoo
A collection of pre-trained models that can be used for transfer learning or as a starting point for new projects.
Keras Integration
TensorFlow includes the Keras API, making it easier to build and train models with high-level abstractions.
Similar Sites and Competitors
Additional information
Developed by
Google Brain Team
License
Apache License 2.0
Latest Version
TensorFlow 2.x
GitHub Repository
https://github.com/tensorflow/tensorflow
Documentation
Extensive documentation and tutorials are available on the official website.
Community and Support
TensorFlow has a large and active community, including forums, a blog, and various community-contributed resources.
Use Cases
TensorFlow is used in a variety of domains, including but not limited to, image and speech recognition, natural language processing, and predictive analytics.
HTTP headers
Security headers report is a very important part of user data protection. Learn more about http headers for tensorflow.org