With the plethora of deep learning frameworks out there, which one should you use? In this video, Siraj Raval compares 10 deep learning frameworks across a wide variety of metrics. PyTorch, Tensorflow, MXNet, Chainer, CNTK, Sonnet, DeepLearning4J, CoreML, ONNX.
For websites or services that accept content from users, it is critical to have that material reviewed to filter out any offensive/inappropriate content.
The Content Moderator platform provides us with a set of APIs for monitoring possible offensive, undesirable, and risky content.
Watch this video to see Sanjeev Jagtap discuss how to leverage the Content Moderator platform and its collection of APIs to help detect potential unwanted content in .NET applications.
I should see this about detecting spam comments here. 🙂
- Content Moderator homepage
- Content Moderator documentation
- Content Moderator SDK and Samples
- Machine-assisted content moderation at scale webinar
- Create a Free Account (Azure)
In this video from the Ignite conference last September, watch the latest additions to the Cognitive Toolkit, which offer a Python API, as well as a GUI to have a non‐disruptive experience from data load through operationalization with all the steps in between.
The goal is to support classification, object detection and image similarity use case. This is a work in progress. In this session, they demonstrate only a classification pipeline.
Watch Cha Zhang, Principal Applied Science Manager from Microsoft Research,m explain the Cognitive Toolkit (aka CNTK).
CNTK is Microsoft’s open source deep learning toolkit that runs over 80% of the internal deep learning workload of Microsoft, including Cortana, HoloLens, Office, and more.
This video demonstrates how to use the CNTK libraries to build out a simple image classifier using a neural network.
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