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Analyzed 16 days ago. based on code collected 16 days ago.

Project Summary

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. 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.

Tags

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

In a Nutshell, TensorFlow...

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Languages

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C++
51%
Python
40%
13 Other
9%

30 Day Summary

Feb 8 2017 — Mar 10 2017

12 Month Summary

Mar 10 2016 — Mar 10 2017
  • 12741 Commits
    Up + 10347 (432%) from previous 12 months
  • 671 Contributors
    Up + 511 (319%) from previous 12 months

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