Here’s an interesting talk on CNTK, the Microsoft Cognitive Toolkit, and Deep Learning on Azure.
Slides and code are on GitHub.
In my previous post, I featured a video on Microsoft Cognitive Toolkit (CNTK). If you’ve not heard of it, CNTK is a production-grade, open-source, deep-learning library. It’s the toolkit behind a Microsoft’s many AI initiatives.
CNTK embraces fully open development, is available on GitHub, and provides support for both Windows and Linux. The latest release packs in several enhancements: most notably Python/C++ API support, easy-to-onboard tutorials (as Python notebooks) and examples, and an easy-to-use Layers interface.
These enhancements, combined with unparalleled scalability on NVIDIA hardware, were demonstrated by both NVIDIA at SuperComputing 2016 and Cray at NIPS 2016.
These enhancements from the CNTK supported Microsoft in its recent breakthrough in speech recognition, reaching human parity in conversational speech.
The toolkit is used in all kinds of deep learning, including image, video, speech, and text data. The speakers will discuss the current features of the toolkit’s release and its application to deep learning projects.
This video introduces Deep Learning with Microsoft Cognitive Toolkit (CNTK). The intended audience includes:
- Data scientists who are new to deep learning
- Machine learning scientists looking for advanced techniques
- Engineers looking for means to scale and leverage cloud computing in Azure