Google Research宣布推出第二代深度学习系统TensorFlow。TensorFlow针对先前的DistBelief的短板有了各方面的加强。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。
视频介绍：
http://v.youku.com/v_show/id_XMTM4MjExNTczNg==.html
官网介绍：
TensorFlow™ is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.
Jeff Dean的解读：
Google资深系统专家Jeff Dean在最近的湾区机器学习大会上解密了谷歌未曾在论文上发表过的第二代深度学习系统TensorFlow:
http://chuansong.me/n/1889295
PPT下载：
谷歌第二代深度学习系统TensorFlow_Jeff Dean
http://download.csdn.net/detail/happytofly/9247741
来自CMU谢澎涛在知乎上的评论：
仔细研读了TensorFlow的开源代码文档和slides，总体感觉是：又一个单机深度学习工具包，并无明显的理论和系统创新，开源版本不支持分布式，所以对大规模深度学习没有用处。
当然也有值得学习和借鉴的地方： 1）支持多种编程语言； 2）提供了很多深度学习模型库。
链接：
如何评价Google发布的第二代深度学习系统TensorFlow?
http://www.zhihu.com/question/37243838/answer/71549036