Highlights from this release include: 
* CUDA kernels for lookuptable layer. This results in a 4x speedup for our sentiment analysis model example
* support for determinstic Conv layer updates
* custom dataset walkthrough utilizing bAbI data
* reduced number of threads in deep reduction EW kernels [#171]
* additional (de)serialization routines [#106]
* CPU tensor slicing fix
* corrections for PrecisionRecall, MultiLabelStats [#148]
* explicitly specify python2.7 for virtualenv [#155]
* default to SM50 when no working GPU found [#186]
* Add alpha to ELU activation [
#164]
* deconv callback fix [
#162]
* various documentation updates [#151, #152]

As always, you can grab this release from github at: https://github.com/NervanaSystems/neon

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