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Merge pull request #1903 from reyoung/release_note
Add release note
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RELEASE.md

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## New Features
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* We release [new python API](http://research.baidu.com/paddlepaddles-new-api-simplifies-deep-learning-programs/).
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* Deep Learning 101 book in [English](http://book.paddlepaddle.org/index.en.html) and [Chinese](http://book.paddlepaddle.org/).
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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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## Improvements
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* Support python virtualenv for `paddle_trainer` process.
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* Add pre-commit hooks, used for automatically format our code.
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* Use Protobuf 3.X as the default Paddle Protobuf version.
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* Add an option to check data type in python data provider.
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* Speedup the backward of average layer on GPU.
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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 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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* Expose Argument::sum to Python
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* Add a new `TensorExpression` implementation for matrix-related expression evaluations.
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* Add Lazy Assignment for optimize the calculation of multiple expressions.
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* Add `Function` to reconstruct the computation function.
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* MulFunc.
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* Add `AutoCompare` and `FunctionCompare`, which make it easier to write unittest for comparing gpu and cpu version of a function.
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* Add `libpaddle_test_main.a` and remove the main function inside the test file.
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* Support dense numpy vector in PyDataProvider2.
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* Clean code base, remove some copy & paste codes before.
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* Extract RowBuffer class for SparseRowMatrix.
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* Clean GradientMachine's interface.
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* Try use `override` keyword in layer.
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* Simplify Evaluator::create, use `ClassRegister` to create Evaluator.
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* Add md5 check when downloading demo's dataset.
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* Add `paddle::Error` which intentially replace `LOG(FATAL)` in Paddle.
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## Bug Fixes
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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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* Fix when async load data in PyDataProvider2.
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# Release v0.9.0
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