TensorFlow: I want to like you, but you're tricksy

Hands-on Occasionally a technology comes along that changes the way that people work. Docker has had a profound effect on how applications are deployed in the cloud, Hadoop changed how analysis of big data was done and the R language has disrupted the statistics market. And so to TensorFlow, which emerged from the Machine Learning team at the Google Brain project. Building on their experience of a system called DistBelief, TensorFlow is a second-generation framework for the implementation of machine learning at scale. Users described their ML models as dataflow graphs, combining a number of machine learning techniques into a single model.