Google today is announcing the release of version 0.8 of its TensorFlow open-source machine learning software. The release is significant because it supports the ability to train machine learning ...
In a post on its Research Blog, Google today announced that it is making some significant improvements to TensorFlow. For those unfamiliar, TensorFlow is the company’s open source machine learning ...
eWEEK content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More. Five months after Google released its powerful TensorFlow ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Jinsong Yu shares deep architectural insights ...
Google's TensorFlow machine learning system can now be distributed across multiple machines in an update, TensorFlow 0.8. The machine learning software is already distributed across hundreds of ...
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LinkedIn Corp. is donating another internally created software project to the open-source community. The now-Microsoft Corp.-owned company has a long history of open-source software contributions, ...
There is no real middle ground when it comes to TensorFlow use cases. Most implementations take place either in a single node or at the drastic Google-scale, with few scalability stories in between.
Two months ago, Facebook’s AI Research Lab (FAIR) published some impressive training times for massively distributed visual recognition models. Today IBM is firing back with some numbers of its own.