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Main Glossary TensorFlow



What is TensorFlow?

TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to Deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.

Why TensorFlow

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.

Easy model building

Build and train ML models easily using intuitive high-level APIs like Keras with eager execution, which makes for immediate model iteration and easy debugging.

Robust ML production anywhere

Easily train and Deploy models in the cloud, on-prem, in the browser, or on-device no matter what language you use.

Powerful experimentation for research

A simple and flexible architecture to take new ideas from concept to code, to state-of-the-art models, and to publication faster.

Powered by TensorFlow

A diverse community of developers, enterprises and researchers are using ML to solve challenging, real-world problems. Learn how their research and applications are being #PoweredbyTF and how you can share your story.

official tensorflow.org
src stackshare.io/tensorflow