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.

LinkedIn’s new tool, called Avro2TF, enables data scientists and other users to convert datasets stored in the Apache Avro format commonly used by LinkedIn’s engineers into a pattern that can ...

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.

Overview: Building AI models begins with clear goals, clean data, and selecting appropriate algorithms.Beginners can use tools like Python, scikit-learn, and Te ...

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

Quobyte Inc., a developer of modern storage system software, will be offering a TensorFlow plug-in for its distributed file system, providing increased throughput performance and linear scalability ...

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 ...

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 ...

TensorFlow benefits from platform-level capabilities in MapR, including microservices support to enable easier management of input and output data, particularly for A-B/multivariate testing of machine ...