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* Update NEWS.md

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eric-haibin-lin committed Jan 28, 2018
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MXNet Change Log
================
## 1.1.0
### Usability Improvements
- Improved the usability of examples and tutorials
### Bug-fixes
- Fixed I/O multiprocessing for too many open file handles (#8904), race condition (#8995), deadlock (#9126).
- Fixed image IO integration with OpenCV 3.3 (#8757).
- Fixed Gluon block printing (#8956).
- Fixed float16 argmax when there is negative input. (#9149)
- Fixed random number generator to ensure sufficient randomness. (#9119, #9256, #9300)
- Fixed custom op multi-GPU scaling (#9283)
- Fixed gradient of gather_nd when duplicate entries exist in index. (#9200)
- Fixed overriden contexts in Module `group2ctx` option when using multiple contexts (#8867)
### New Features
- Added experimental API in `contrib.text` for building vocabulary, and loading pre-trained word embeddings, with built-in support for 307 GloVe and FastText pre-trained embeddings. (#8763)
- Added experimental structural blocks in `gluon.contrib`: `Concurrent`, `HybridConcurrent`, `Identity`. (#9427)
- Added `sparse.dot(dense, csr)` operator (#8938)
- Added `Khatri-Rao` operator (#7781)
- Added `FTML` and `Signum` optimizer (#9220, #9262)
- Added `ENABLE_CUDA_RTC` build option (#9428)
### API Changes
- Added zero gradients to rounding operators including `rint`, `ceil`, `floor`, `trunc`, and `fix` (#9040)
- Added `use_global_stats` in `nn.BatchNorm` (#9420)
- Added `axis` argument to `SequenceLast`, `SequenceMask` and `SequenceReverse` operators (#9306)
- Added `lazy_update` option for standard `SGD` & `Adam` optimizer with `row_sparse` gradients (#9468, #9189)
- Added `select` option in `Block.collect_params` to support regex (#9348)
- Added support for (one-to-one and sequence-to-one) inference on explicit unrolled RNN models in R (#9022)
### Depreciations
- The Scala API name space is still called `ml.dmlc`. The name space is likely be changed in a future release to `org.apache` and might brake existing applications and scripts (#9579, #9324)
### Performance Improvements
- Improved GPU inference speed by 20% when batch size is 1 (#9055)
- Improved `SequenceLast` operator speed (#9306)
- Added multithreading for the class of broadcast_reduce operators on CPU (#9444)
- Improved batching for GEMM/TRSM operators with large matrices on GPU (#8846)
### Known Issues
- "Predict with pre-trained models" tutorial is broken


## 1.0.0
### Performance
- Enhanced the performance of `sparse.dot` operator.
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1 change: 1 addition & 0 deletions README.md
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What's New
----------
* [Version 1.1.0 Release](https://github.com/apache/incubator-mxnet/releases/tag/1.1.0) - MXNet 1.1.0 Release.
* [Version 1.0.0 Release](https://github.com/apache/incubator-mxnet/releases/tag/1.0.0) - MXNet 1.0.0 Release.
* [Version 0.12.1 Release](https://github.com/apache/incubator-mxnet/releases/tag/0.12.1) - MXNet 0.12.1 Patch Release.
* [Version 0.12.0 Release](https://github.com/apache/incubator-mxnet/releases/tag/0.12.0) - MXNet 0.12.0 Release.
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