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Analyzed 7 months ago. based on code collected 11 months ago.

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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Project Security

Vulnerabilities per Version ( last 10 releases )

Project Vulnerability Report

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Languages

Languages?height=75&width=75
C++
54%
Python
35%
HTML
7%
15 Other
4%

30 Day Summary

Jul 26 2019 — Aug 25 2019

12 Month Summary

Aug 25 2018 — Aug 25 2019
  • 24214 Commits
    Up + 6252 (34%) from previous 12 months
  • 906 Contributors
    Down -81 (8%) from previous 12 months