The code for a TensorFlow solution first loads the data and builds the graph, then establishes a session and runs the training of the model against the data.

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 is a Python-friendly open source library for developing machine learning applications and neural networks. Here's what you need to know about TensorFlow.

If you want to explore machine learning, you can now write applications that train and deploy TensorFlow in your browser using JavaScript. We know what you are thinking. That has to be slow. Surpri… ...

LinkedIn open sourced a tool it developed to convert Apache Spark-based Big Data into a format consumable by TensorFlow, the popular open source platform for machine learning.

Data manipulation: multi-dimensional transposition (conversion), split, concat, sum and scale. Researchers optimizing TensorFlow started by refactoring the code to leverage the Intel MKL-DNN ...

James Vincent is a senior reporter who has covered AI, robotics, and more for eight years at The Verge. Google has announced a new module for its machine learning framework, TensorFlow, that lets ...

Google is sharing a tool to keep your data anonymous from AI Your secrets won’t show up as someone else’s auto-response.