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A comment on TensorFlow 101.

Re:TensorFlow 101 by partycoder on Sunday October 22, 2017 @03:49AM (#15525667)
I like the "AI for humans" series, by Jeff Heaton. It's a series of books plus some code examples that can be found here:

https://github.com/jeffheaton/aifh

For python, no libraries other than numpy are used in the examples. Which is not production friendly, but it offers insights into the concepts which I think is a good start.

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Re:TensorFlow 101 by scarlac on Sunday October 22, 2017 @05:32AM (#15525894)
Which libraries would you recommend for production use instead of numpy?
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Re:TensorFlow 101 by partycoder on Sunday October 22, 2017 @01:50PM (#15527983)
I would rather say in addition to numpy. Tensorflow, and the more recent CNTK may be good candidates for a production environment. Keras is a simplified interface to those.

Other libraries that people have used include PyTorch and Scikit-learn. But right now Tensorflow and CNTK might be among the fastest/more scalable.

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