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Update Convert_Model_From_TensorFlow.md (#11425) (#11591)

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* Update Convert_Model_From_TensorFlow.md (#11425)

* Apply suggestions by Yuan

The changes are made in the port PR, so will be published with the 22.2 version.

Co-authored-by: Evan <evan.juras@gmail.com>
Co-authored-by: Yuan Xu <yuan1.xu@intel.com>
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Karol Blaszczak
2022-05-09 16:49:15 +02:00
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docs/MO_DG/prepare_model/convert_model/Convert_Model_From_TensorFlow.md
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# Converting a TensorFlow* Model {#openvino_docs_MO_DG_prepare_model_convert_model_Convert_Model_From_TensorFlow}
# Converting a TensorFlow Model {#openvino_docs_MO_DG_prepare_model_convert_model_Convert_Model_From_TensorFlow}
This page provides general instructions on how to convert a model from a TensorFlow format to the OpenVINO IR format using Model Optimizer. The instructions are different depending on whether your model was created with TensorFlow v1.X or TensorFlow v2.X.
To use Model Optimizer, install OpenVINO Development Tools by following the [installation instructions](../../../install_guides/installing-model-dev-tools.md).
## Convert TensorFlow 1 Models <a name="Convert_From_TF2X"></a>
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In this document, you learned:
* Basic information about how the Model Optimizer works with TensorFlow models
* Which TensorFlow models are supported
* How to freeze a TensorFlow model
* Which TensorFlow model formats are supported
* How to freeze a TensorFlow 1 model
* How to convert a trained TensorFlow model using the Model Optimizer with both framework-agnostic and TensorFlow-specific command-line options
## See Also
[Model Conversion Tutorials](Convert_Model_Tutorials.md)
## Additional Resources
For step-by-step instructions on how to convert specific TensorFlow models, see the [Model Conversion Tutorials](Convert_Model_Tutorials.md) page. Here are some examples:
* [Convert TensorFlow EfficientDet Models](tf_specific/Convert_EfficientDet_Models.md)
* [Convert TensorFlow FaceNet Models](tf_specific/Convert_FaceNet_From_Tensorflow.md)
* [Convert TensorFlow Object Detection API Models](tf_specific/Convert_Object_Detection_API_Models.md)