By releasing its Computational Network Toolkit on GitHub, Microsoft is making the tools that its own researchers use to speed up advances in artificial intelligence available to a broader group of developers.
The researchers developed the open-source toolkit, dubbed CNTK, out of necessity. Xuedong Huang, Microsoft’s chief speech scientist, says he and his team were anxious to make faster improvements to how well computers can understand speech, and the tools they had to work with were slowing them down.
In internal tests, Huang says CNTK has proved more efficient than four other popular computational toolkits that developers use to create deep learning models for things like speech and image recognition, because it has better communication capabilities.
Those types of performance gains are incredibly important in the fast-moving field of deep learning, because some of the biggest deep learning tasks can take weeks to finish.
Read the full story on CNTK on Next at Microsoft.
Microsoft News Center Staff