This site has TensorFlow documentation for Google engineers. The menu at the left lists those parts of the public TensorFlow documentation that pertain to Google engineers, along with some internal-only resources written specifically for Google engineers.
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) that flow between them. This flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device without rewriting code. 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. The system is general enough to be applicable in a wide variety of other domains as well. The following documents show you how to set up and use the TensorFlow system.