README.md: added news entry for CNTK 2.0 Release Candidate 2

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Give us feedback through these [channels](https://github.com/Microsoft/CNTK/wiki/Feedback-Channels).
# Latest news
***2017-04-21.* CNTK 2.0 Release Candidate 2**
With Release Candidate 2 we reacted to customer feedback and improved/added features, functionality, and performance.
Highlights:
* New operators like `pow`, `sequence.reduce_max`, `sequence.softmax`.
* New feature for Linux source builds (GPU Direct RDMA support in distributed gradients aggregation, NCCL support for Python in V2 gradients aggregation).
* Support for Python 3.6 for source and binary installation; see [here](https://github.com/Microsoft/CNTK/wiki/Setup-CNTK-on-your-machine).
* `UserMinibatchSource` to write custom minibatch sources; see [here](https://cntk.ai/pythondocs/extend.html#user-defined-minibatch-sources).
* New C# APIs: `class NDArrayView` and methods, `SetMaxNumCPUThreads()`, `GetMaxNumCPUThreads()`, `SetTraceLevel()`, `GetTraceLevel()`
* A new set of NuGet Packages is provided with this Release.
The [release notes](https://github.com/Microsoft/CNTK/wiki/CNTK_2_0_RC_2_Release_Notes) contain an overview.
Get the release from the [CNTK Releases Page](https://github.com/Microsoft/CNTK/releases).
***2017-03-31.* V 2.0 Release Candidate 1**
With Release Candidate 1 the Microsoft Cognitive Toolkit enters the final set of enhancements before release of the production version of CNTK v.2.0.
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CNTK V 2.0 Beta 12 Runtime packages are now available as [Public Images at Docker Hub](https://hub.docker.com/r/microsoft/cntk/).
See more on CNTK as Docker Images in this [Wiki article](https://github.com/Microsoft/CNTK/wiki/CNTK-Docker-Containers).
***2017-02-23.* V 2.0 Beta 12 Release**
Highlights of this Release:
* New and updated features: new activation functions, support of `Argmax` and `Argmin`, improved performance of `numpy` interop, new functionality of existing operators, and more.
* [CNTK for CPU on Windows can now be installed via `pip install` on Anaconda 3](https://github.com/Microsoft/CNTK/wiki/Setup-CNTK-on-your-machine). Other configurations will be enabled soon.
* HTK deserializers are now exposed in Python. All deserializers are exposed in C++.
* The memory pool implementation of CNTK has been updated with a new global optimization algorithm. Hyper memory compression has been removed.
* New features in C++ API.
* [New Eval examples for RNN models](https://github.com/Microsoft/CNTK/blob/master/Examples/Evaluation/CNTKLibraryCSEvalCPUOnlyExamples/CNTKLibraryCSEvalExamples.cs).
* New [CNTK NuGet Packages](https://github.com/Microsoft/CNTK/wiki/NuGet-Package) with CNTK V2 C++ Library.
See more in the [Release Notes](https://github.com/Microsoft/CNTK/wiki/CNTK_2_0_beta_12_Release_Notes).
Get the Release from the [CNTK Releases page](https://github.com/Microsoft/CNTK/releases).
***2017-02-13.* V 2.0 Beta 11 Release available at Docker Hub**
CNTK V 2.0 Beta 11 Runtime packages are now available as [Public Images at Docker Hub](https://hub.docker.com/r/microsoft/cntk/).
See more on CNTK as Docker Images in this [Wiki article](https://github.com/Microsoft/CNTK/wiki/CNTK-Docker-Containers).
See [all news](https://github.com/Microsoft/CNTK/wiki/News).
# What is The Microsoft Cognitive Toolkit