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@ -3,7 +3,7 @@ BigDL Documentation
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BigDL makes it easy for data scientists and data engineers to build end-to-end, distributed AI applications. The **BigDL 2.0** release combines the original `BigDL <https://github.com/intel-analytics/BigDL/tree/branch-0.14>`_ and `Analytics Zoo <https://github.com/intel-analytics/analytics-zoo>`_ projects, providing the following features: `BigDL <https://github.com/intel-analytics/BigDL/>`_ makes it easy for data scientists and data engineers to build end-to-end, distributed AI applications. The **BigDL 2.0** release combines the original `BigDL <https://github.com/intel-analytics/BigDL/tree/branch-0.14>`_ and `Analytics Zoo <https://github.com/intel-analytics/analytics-zoo>`_ projects, providing the following features:
* **DLlib**: distributed deep learning library for Apache Spark (including support for `Spark ML pipeline <doc/UseCase/nnframes.html>`_ and `Keras-like <doc/UseCase/keras-api.html>`_ APIs) * **DLlib**: distributed deep learning library for Apache Spark (including support for `Spark ML pipeline <doc/UseCase/nnframes.html>`_ and `Keras-like <doc/UseCase/keras-api.html>`_ APIs)
* `Orca <doc/Orca/Overview/orca.html>`_: seamlessly scale out TensorFlow and PyTorch pipelines for distributed Big Data * `Orca <doc/Orca/Overview/orca.html>`_: seamlessly scale out TensorFlow and PyTorch pipelines for distributed Big Data