谷歌第二代机器学习系统,TensorfFlow 0.6.0 发布

jopen 4年前

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,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