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TensorFlow for Java: Examples

These examples include using pre-trained models for image classification and object detection, and driving the training of a pre-defined model - all using the TensorFlow Java API.

The TensorFlow Java API does not have feature parity with the Python API. The Java API is most suitable for inference using pre-trained models and for training pre-defined models from a single Java process.

Python will be the most convenient language for defining the numerical computation of a model.

  • Slides from January 2018.
  • See README.md in each subdirectory for details.