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These examples include using pre-trained models for [image
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classification](label_image) and [object detection](object_detection),
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and driving the [training](training) of a pre-defined model - all using the
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TensorFlow Java APIs.
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The TensorFlow Java API does not have feature parity with the Python API.
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The Java APIs are most suitable for inference using pre-trained models
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and for training pre-defined models from a single Java process.
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However, Python will be the most convenient language for defining the
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numerical computation of a model.
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-[Slides](https://docs.google.com/presentation/d/e/2PACX-1vQ6DzxNTBrJo7K5P8t5_rBRGnyJoPUPBVOJR4ooHCwi4TlBFnIriFmI719rDNpcQzojqsV58aUqmBBx/pub?start=false&loop=false&delayms=3000) from January 2018.
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