TensorfFlow 0.6.0 发布，更新如下： 主要特性和提升 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 benchmarksroughly 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 修复 Lots of fixes to documentation and tutorials, many contributed by the public. 271 closed issues on github issues. 向后兼容变化 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. 更多内容请看： https://github.com/tensorflow/tensorflow/blob/master/RELEASE.md TensorFlow 是谷歌的第二代机器学习系统，按照谷歌所说，在某些基准测试中，TensorFlow的表现比第一代的DistBelief快了2倍。 TensorFlow 内建深度学习的扩展支持，任何能够用计算流图形来表达的计算，都可以使用TensorFlow。任何基于梯度的机器学习算法都能够受益于TensorFlow的自动分 化（auto-differentiation）。通过灵活的Python接口，要在TensorFlow中表达想法也会很容易。 TensorFlow 对于实际的产品也是很有意义的。将思路从桌面GPU训练无缝搬迁到手机中运行。 TensorfFlow 0.6.0 发布，谷歌第二代机器学习系统下载地址
