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Merge pull request #2073 from RenuPatelGoogle:patch-18
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site/en/tutorials/customization/basics.ipynb

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"### NumPy compatibility\n",
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"Converting between a TensorFlow `tf.Tensor`s and a NumPy `ndarray` is easy:\n",
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"Converting between a TensorFlow `tf.Tensor` and a NumPy `ndarray` is easy:\n",
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"* TensorFlow operations automatically convert NumPy ndarrays to Tensors.\n",
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"* NumPy operations automatically convert Tensors to NumPy ndarrays.\n",
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"## Datasets\n",
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"This section uses the [`tf.data.Dataset` API](../../guide/data.ipynb) to build a pipeline for feeding data to your model. `tf.data.Dataset` is used to build performant, complex input pipelines from simple, re-usable pieces that will feed your model's training or evaluation loops."
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"This section uses the `tf.data.Dataset` API to build a pipeline for feeding data to your model. `tf.data.Dataset` is used to build performant, complex input pipelines from simple, re-usable pieces that will feed your model's training or evaluation loops. (Refer to the [tf.data: Build TensorFlow input pipelines](../../guide/data.ipynb) guide to learn more.)"
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