TensorFlow v0.9.0 RC0 发布新增支持iOS平台

Google下一个版本的TensorFlow神经网络软件将在iPhone和iPad上运行，为移动设备带来一个全新的智能计算类型。几天前，Google发布了TensorFlow的一个早期版本（0.9 RC），特点是添加了对iOS的支持。作为一款神经网络软件，它可以让计算机像人脑一样处理数据，这也是人工智能向计算领域进军的重要一步。除了帮iPhone提升IQ，TensorFlow后续还会被引入更复杂的应用。

人工智能成为硅谷企业的心头好已经很很多年，各大公司（包括Facebook、微软、eBay、IBM）都在幕后投入了不少的精力去研发。

微软联合创始人比尔·盖茨上周表示，当前人工智能领域的发展，是计算机行业“最令人兴奋和向往的事情了”。

为了将TensorFlow搬到iOS平台，Google辛苦工作了好几个月。TensorFlow能够理解句子的结构并执行高水平的任务，但需要高性能机器甚至网络设备的加持。

不过在小型设备上，它也同样可以派上用场，比如识别照片中的对象、或者向手机描述一个特定对象的样子。Google已将机器学习技术运用到了超过100个领域，并希望AI能够部署到全新的服务场景。

via：cnBeta

TensorFlow v0.9.0 RC0 更新日志：

主要新特性和改进：

Python 3.5 support and binaries
Added iOS support
Added support for processing on GPUs on MacOS
Added makefile for better cross-platform build support (C API only)
fp16 support for many ops
Higher level functionality in contrib.{layers,losses,metrics,learn}
More features to Tensorboard
Improved support for string embedding and sparse features
TensorBoard now has an Audio Dashboard, with associated audio summaries.

重大修复和其他更新

Turned on CuDNN Autotune.
Added support for using third-party Python optimization algorithms (contrib.opt).
Google Cloud Storage filesystem support.
HDF5 support
Add support for 3d convolutions and pooling.
Update gRPC release to 0.14.
Eigen version upgrade.
Switch to eigen thread pool
tf.nn.moments() now accepts a shift argument. Shifting by a good estimate of the mean improves numerical stability. Also changes the behavior of the shift argument totf.nn.sufficient_statistics().
Performance improvements
Many bugfixes
Many documentation fixes
TensorBoard fixes: graphs with only one data point, Nan values, reload button and auto-reload, tooltips in scalar charts, run filtering, stable colors
Tensorboard graph visualizer now supports run metadata. Clicking on nodes while viewing a stats for a particular run will show runtime statistics, such as memory or compute usage. Unused nodes will be faded out.