Let’s start with data flow graphs, which underpin TensorFlow’s architecture. Understand data flow graphs A data flow graph is a kind of directed graph describing a mathematical computation.

What do we mean by “data flow graphs”? Well, that’s the really cool part. But before we can answer that, we’ll need to talk a bit about the structure for a simple neural network.

This is Google’s animated illustration of how tensors flow from node to node through the edges of a data flow graph. TensorFlow currently runs on Ubuntu Linux, MacOS, Android, iOS, and Raspberry ...

TensorFlow is an open source software library developed by Google for numerical computation with data flow graphs. This TensorFlow guide covers why the library matters, how to use it and more.

TensorFlow delivers a set of modules (providing for both Python and C/C++ APIs) that enable constructing and executing TensorFlow computations, which are then expressed in stateful data flow graphs.

Announced today, TensorFlow is a set of free tools for machine learning applications.Or, in technical terms, “an open source software library for numerical computation using data flow graphs.” ...

Google captivated the world at I/O 2018 when its Google Assistant phoned in an appointment with a hair salon… ...

Researchers have used artificial intelligence to beat humans in popular games such as Chess and Go, but King, developer of Candy Crush, has found a novel use for it.