I had great fun writing neural network software in the 90s, and I have been anxious to try creating some using TensorFlow. Google’s machine intelligence framework is the new hotness right now… ...

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.

Google today released TensorFlow Graph Neural Networks (TF-GNN) in alpha, a library designed to make it easier to work with graph structured data using TensorFlow, its machine learning framework.

TensorFlow is an open source software library developed by Google for numerical computation with data flow graphs. It offers tremendous opportunities for developers building machine learning into ...

Over the years, TensorFlow has evolved from its beginnings as a machine learning and neural network library based on data flow graphs that had a high learning curve and a low-level API.

Google has released a series of tutorials and data flow graphs to highlight how the system works. A data flow graph would look like this: Editorial standards. Show Comments ...