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TensorFlow

An open-source software library for data-flow programming and machine learning applications such as neural networks

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Overview

TensorFlow is an open source software library for high performance numerical computation. Its flexible architecture allows easy deployment of computation across a variety of platforms (CPUs, GPUs, TPUs), and from desktops to clusters of servers to mobile and edge devices.

TensorFlow was originally developed by researchers and engineers from the Google Brain team within Google’s AI organization.

It comes with strong support for machine learning and deep learning and the flexible numerical computation core is used across many other scientific domains.

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Platform

  

Social

     

System Requirements

#MinimumRecommended
1v2.7 for Python 2v3.3+ for Python 3
2NVIDIA CUDA 7.5NVIDIA CUDA 8.0 required for Pascal GPUs
3Hardware: NVIDIA® GPU card with CUDA® Compute Capability 3.5 or higher
4Software: NVIDIA® GPU drivers —CUDA 9.0 requires 384.x or higher, CUDA® Toolkit —TensorFlow supports CUDA 9.0, CUPTI ships with the CUDA Toolkit, cuDNN SDK (>= 7.2)Minimum Software plus: NCCL 2.2 for multiple GPU support, TensorRT 4.0 to improve latency and throughput for inference on some models

Ratings

4.67
5
InfoWorld: 5
5  based on professional's opinion

G2CROWD: 4.5
5  based on 23 reviews

Capterra: 4.5
5  based on 43 reviews

Developer

Google Brain Team

Written in

C++, Python, CUDA

Initial Release

9 November 2015

License

Apache v2


Notes

  • TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.