Extending TensorFlow 1.0 for Intel optimized architecture

Extending TensorFlow 1.0 for Intel optimized architecture


   I have just posted a project in Intel Developer Mesh on extending TensorFlow 1.0 for Intel Optimized  Python(https://devmesh.intel.com/projects/intel-optimized-tensorflow1-0) .Now my next question is I am using jupyter notebook and I am new to machine learning  correct me if I am wrong.I am enabling Intel optimized Python by activate in terminal and then I am activating TensorFlow 1.0 too.Now to use both of them effectively in a program can I use Intel Optimized libraries too? Is there a basic way or  example on how to do this?Thanks.

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For more complete information about compiler optimizations, see our Optimization Notice.

Hi Nandy,

Are you referring to working with Jupyter notebooks within the Intel Deep Learning SDK training tool, or using Jupyter notebooks in general with Intel Python distribution?



I want to know about both.

I am up and running with jupyter notebook with PyDAAL.Thanks.

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