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Merge pull request #1901 from qingqing01/release/0.10.0
release 0.10.0 note
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RELEASE.md

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* Support rectangle input for CNN.
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* Support stride pooling for seqlastin and seqfirstin.
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* Expose seq_concat_layer/seq_reshape_layer in `trainer_config_helpers`.
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* Add dataset package
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- CIFAR, MNIST, IMDB, WMT14, CONLL05, movielens, imikolov.
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* Add Priorbox layer for Single Shot Multibox Detection.
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* Add smooth L1 cost.
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* Add data reader creator and data reader decorator for v2 API.
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* Add the cpu implementation of cmrnorm-projection.
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* Reorganize the catalog of doc/ and refine several docs.
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* Add Travis-CI for checking dead links.
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* Add a example for explaining sparse_vector.
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* Add Relu in layer_math.py
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* Simplify data processing flow for quick start.
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* Support CUDNN Deconv.
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* Add data feeder for v2 API.
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* Support predicting the samples from sys.stdin for sentiment demo.
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* Provide multi-proccess interface for image preprocessing.
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* Add benchmark document for v1 API.
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* Add Relu in layer_math.py.
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* Add packages for automatically downloading public datasets.
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* Rename Argument::sumCost to Argument::sum since Argument does not have to have any relationship with cost.
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* Fix LogActivation which is not defined.
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* Fix bug when run test_layerHelpers multiple times.
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* Fix protobuf size limit on seq2seq demo.
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* Fix bug for dataprovider converter in GPU mode.
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* Fix bug in GatedRecurrentLayer which only occurs in predicting or `job=test` mode.
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* Fix bug for BatchNorm when testing more than models in test mode.
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* Fix unit test of paramRelu.
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* Fix some warning about CpuSparseMatrix.
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* Fix MultiGradientMachine error if trainer_count > batch_size.

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