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3 | 3 | Release Notes
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4 | 4 | #############
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5 | 5 |
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6 |
| -This is release |release|. |
| 6 | +|release| |
7 | 7 |
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8 | 8 |
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| 9 | +This release focuses on accelerating deep learning inference workloads on |
| 10 | +Intel® Xeon® (CPU processor) and has the following key features: |
9 | 11 |
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10 |
| -API Changes |
11 |
| -=========== |
| 12 | +* Out-of-box installation experience for TensorFlow*, MXNet*, and ONNX. |
| 13 | +* Validated optimizations for 17 workloads each on both TensorFlow and MXNet, |
| 14 | + as well as 14 for ONNX. |
| 15 | +* Support for Ubuntu 16.04 (TensorFlow, MXNet and ONNX). |
| 16 | +* Support for OSX 10.13.x (buildable for TensorFlow and MXNet). |
12 | 17 |
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13 |
| -.. literalinclude:: ../../../../changes.md |
| 18 | +This |version| release includes optimizations built for popular workloads |
| 19 | +already widely deployed in production environments. These workloads cover |
| 20 | +the following categories: |
14 | 21 |
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| 22 | +* ``image recognition & segmentation`` |
| 23 | +* ``object detection`` |
| 24 | +* ``language translation`` |
| 25 | +* ``speech generation & recognition`` |
| 26 | +* ``recommender systems`` |
| 27 | +* ``Generative Adversarial Networks (GAN)`` |
| 28 | +* ``reinforcement learning`` |
| 29 | + |
| 30 | +In our tests, the optimized workloads can perform up to 45X faster than native |
| 31 | +frameworks, and we expect performance gains for other workloads due to our |
| 32 | +powerful :doc:`../fusion/index` feature. |
| 33 | + |
| 34 | + |
| 35 | +See also our recent `API changes`_ |
| 36 | + |
| 37 | + |
| 38 | + |
| 39 | +.. _API changes: https://github.com/NervanaSystems/ngraph/blob/master/changes.md |
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