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Python 3.3+ support via changes to python codebase and ability to specify python version via ./configure.
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Some improvements to GPU performance and memory usage: convnet benchmarks 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.
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Lots of fixes to documentation and tutorials, many contributed by the public.
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271 closed issues on github issues.
- 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.
Initial release of TensorFlow.