Major Features and Improvements
* Python 3.3+ support via changes to python codebase and ability
to specify python version via ./configure.
* Some improvements to GPU performance and memory usage:
[convnet benchmarks](https://github.com/soumith/convnet-benchmarks/issues/66)
roughly equivalent with native cudnn v2 performance. Improvements mostly due
to moving to 32-bit indices, faster shuffling kernels. More improvements to
come in later releases.
Bug Fixes
* Lots of fixes to documentation and tutorials, many contributed
by the public.
* 271 closed issues on github issues.
Backwards-Incompatible Changes
* `tf.nn.fixed_unigram_candidate_sampler` changed its default 'distortion'
attribute from 0.0 to 1.0. This was a bug in the original release
that is now fixed.