A machine learning workflow with TensorFlow Our architecture consists of training and classification data streamed through Kafka and stored in a persistent, queryable database.

With this week's release of TensorFlow 1.0, Google has pushed the frontiers of machine learning further in a number of directions.

Google LLC today launched an enterprise version of TensorFlow, the popular open-source artificial intelligence framework it created to run machine learning, deep learning and other statistical and ...

TensorFlow 1.0 not only brings improvements to the framework’s gallery of machine learning functions, but also eases TensorFlow development to Python and Java users and improves debugging.

Google enhances TensorFlow with deep learning capabilities and parallelism techniques for developer choice in machine language tooling.

TensorFlow gives public access to the tools used by Google’s machine learning team.

For those unfamiliar, TensorFlow is the company’s open source machine learning software that powers things like Google Translate and many Photos features.

Conclusion Exploring machine learning with TensorFlow on Ubuntu opens a world of possibilities. Whether you're a beginner or an experienced practitioner, the combination of TensorFlow's powerful ...

According to the TensorFlow site, Google open sourced the project to help standardize machine learning systems. “Research in this area is global and growing fast, but lacks standard tools ...

Google today announced the launch of version 0.8 of TensorFlow, its open source library for doing the hard computation work that makes machine learning possible. Normally, a small point update ...