Alexey Kamenev, Software Engineer at Microsoft Research talks about their open-source Computational Network Toolkit (CNTK) for deep learning, which describes neural networks as a series of computational steps via a directed graph. Kamenev also shares a bit about how they’re using GPUs, the CUDA Toolkit and GPU-accelerated libraries for the variety of Microsoft products that benefit from deep learning, such as speech recognition for Skype Translator and Cortana.
“Basically, right now the whole world of deep learning is using GPUs and Microsoft is not an exception,” said Alexey.
Watch Alexey’s presentation about CNTK in the NVIDIA GPU Technology Theater at SC15: Watch Now
Share your GPU-accelerated science with us at http://nvda.ly/Vpjxr
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Share Your Science: Accelerating Microsoft Cortana and Skype Translator
Feb 12, 2016
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AI-Generated Summary
- Alexey Kamenev explains that Microsoft Research's Computational Network Toolkit (CNTK) describes neural networks as a series of computational steps via a directed graph for deep learning.
- Microsoft is using GPUs, the CUDA Toolkit, and GPU-accelerated libraries to support deep learning in various products, such as Skype Translator and Cortana.
- The use of GPUs is prevalent in the deep learning world, with Microsoft being no exception, according to Alexey Kamenev.
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