TensorFlow Framework

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A TensorFlow Framework is an open source Python-based numerical analysis platform.



References

2017

2017

Software Creator Software license Open source Platform Written in Interface OpenMP support OpenCL support CUDA support Automatic differentiation Has pretrained models Recurrent nets Convolutional nets RBM/DBNs Parallel execution (multi node)
TensorFlow Google Brain team Apache 2.0 Yes Linux, Mac OS X, Windows[1] C++, Python Python, C/C++, Java, Go No No[2][3] Yes Yes[4] Yes[5] Yes Yes Yes Yes

2016

2016

2016

  1. https://developers.googleblog.com/2016/11/tensorflow-0-12-adds-support-for-windows.html
  2. "tensorflow/roadmap.md at master · tensorflow/tensorflow · GitHub". GitHub. January 23, 2017. https://github.com/tensorflow/tensorflow/blob/master/tensorflow/docs_src/about/roadmap.md. Retrieved May 21, 2017. 
  3. "OpenCL support · Issue #22 · tensorflow/tensorflow". GitHub. https://github.com/tensorflow/tensorflow/issues/22. 
  4. https://www.tensorflow.org/
  5. https://github.com/tensorflow/models
  6. 6.0 6.1 6.2 "TensorFlow: Open source machine learning" "It is machine learning software being used for various kinds of perceptual and language understanding tasks" — Jeffrey Dean, minute 0:47 / 2:17 from Youtube clip
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2016

2016

  • http://googleresearch.blogspot.com/2016/04/deepmind-moves-to-tensorflow.html
    • QUOTE: With Google’s recent open source release of TensorFlow, we initiated a project to test its suitability for our research environment. Over the last six months, we have re-implemented more than a dozen different projects in TensorFlow to develop a deeper understanding of its potential use cases and the tradeoffs for research. Today we are excited to announce that DeepMind will start using TensorFlow for all our future research. We believe that TensorFlow will enable us to execute our ambitious research goals at much larger scale and an even faster pace, providing us with a unique opportunity to further accelerate our research programme.

2016

2015