Facebook open sources tools for bigger, faster deep learning models

Gigaom

Facebook on Friday open sourced a handful of software libraries that it claims will help users build bigger, faster deep learning models than existing tools allow.

The libraries, which [company]Facebook[/company] is calling modules, are alternatives for the default ones in a popular machine learning development environment called Torch, and are optimized to run on [company]Nvidia[/company] graphics processing units. Among the modules are those designed to rapidly speed up training for large computer vision systems (nearly 24 times, in some cases), to train systems on potentially millions of different classes (e.g., predicting whether a word will appear across a large number of documents, or whether a picture was taken in any city anywhere), and an optimized method for building language models and word embeddings (e.g., knowing how different words are related to each other).

“‘[T]here is no way you can use anything existing” to achieve some of these results, said…

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