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README.md

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## What is it exactly?
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The functionality of the TensorFlow (TF) is implemented in many languages and one of them is C++,
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The functionality of TensorFlow (TF) is implemented in many languages and one of them is C++,
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but Python is used as an interface (front-end) between the backend system and the users.
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The TF C++ API his built on TensorFlow Session (in the old version) and on TensorFlow ClientSession (in the new version).
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One can make use either of these to execute TensorFlow graphs that have been built using the Python API and serialized to a `GraphDef`.
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The TF C++ API is built on TensorFlow Session (in the old version) and TensorFlow ClientSession (in the new version).
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One can make use of either of these to execute TensorFlow graphs that have been built using the Python API and serialized to a `GraphDef`.
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## C++ API for TensorFlow
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The runtime of TensorFlow is written in C++, and mostly, C++ is connected to TensorFlow through header files in `tensorflow/cc`.
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The C++ API is still in experimental stages of development, and also the documentation is being updated,
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meaning that it lacks of information and tutorial about how to use TensorFlow API.
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The C++ API is still in the experimental stages of development, and also the documentation is being updated,
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meaning that it lacks information and a tutorial about how to use TensorFlow API.
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## Content
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