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Copy file name to clipboardexpand all lines: docs/image_recognition/quantization/Tutorial.md
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@@ -26,7 +26,7 @@ and the `checkpoint files` are required to start this tutorial.
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## Install and Build TensorFlow Tools
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* Clone the TensorFlow tools repository, and follow the [instructions](https://github.com/IntelAI/tools/tree/master/tensorflow-quantization)
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* Clone the TensorFlow tools repository, and follow the [instructions](https://github.com/IntelAI/tools/tree/master/tensorflow_quantization)
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for how to build the TensorFlow tools using Docker.
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```
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$ git clone https://github.com/IntelAI/tools.git
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`-- calibrate=True` is a custom argument to be added at the end of the inference command as formatted (with a white space after `--`).
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* The `resnet50_min_max_log.txt` file is used in the following step. We suggest that you store the `resnet50_min_max_log.txt` in the same location specified in
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the [start quantization process](https://github.com/IntelAI/tools/tree/master/tensorflow-quantization) section,
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the [start quantization process](https://github.com/IntelAI/tools/tree/master/tensorflow_quantization) section,
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which will be mounted inside the container to `/workspace/quantization`.
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