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Project Summary

TensorFlowâ„¢ 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. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.

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c++ deep_learning deep_neural_networks flow_graphs GPU gpu_computing machine_learning mobile numerical_computing python

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Languages

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C++
48%
Python
38%
HTML
10%
13 Other
4%

30 Day Summary

Sep 13 2018 — Oct 13 2018

12 Month Summary

Oct 13 2017 — Oct 13 2018
  • 18395 Commits
    Up + 4237 (29%) from previous 12 months
  • 942 Contributors
    Up + 64 (7%) from previous 12 months