Google Adds Distributed Training To TensorFlow Androidheadlines.com

Not long ago, Google's machine learning and backend building tool, TensorFlow, finally went open source. Today, Google announced that TensorFlow has been updated to version 0.8, with the update including a major requested feature. As of today's update, TensorFlow can now run as a distributed system across mutliple machines. This greatly increases its capabilities and makes for much faster processing, training, deployment and inference in practical use. This allows for a wider stable of possible use cases, as well as making the use of TensorFlow easier and more accessible by adding in the possibility of distributing the processing load across multiple smaller-scale machines, rather than needing a supercomputer to run the platform.