The demo included in this video was part of our Ignite talk on cloud innovation with Azure Government. We use CNTK for an image detection problem: Identifying objects within the refrigerator. Image detection is a harder class of problem than image classification, as image detection goes beyond classification to include localization of object(s) within an image. This is the reason for dropping down into the deep learning library. (Earlier in this presentation, Steve Michelotti showed the use of Cognitive API for image classification.)
In this video, we take a look at using Cognitive Toolkit (CNTK)—a unified deep learning toolkit from Microsoft.
At our second session for Microsoft Ignite, Jason McNutt and I discussed Azure Resource Manager (ARM) and Compliance. We showed attendees how to develop ARM templates that are compliant out of the box, with security standards such as FISMA and FedRAMP. Additionally, we went over how to automatically generate security control documentation based on ARM tags and open-source libraries like OpenControl.
Below is a short 15-minute video summarizing our Secure DevOps with ARM presentation:
Steve Michelotti and I presented a session on AzureGov last week at Microsoft Ignite 2017 in Orlando. It focused on demonstrating the innovative capabilities in AzureGov that are specifically designed to help government agencies with their mission. We dedicated about 80% of the session to live demos.
Steve started out with a brief description of AzureGov and how to get started…along with some recent news announcements, including API Management and Key Vault. Steve then quickly transitioned into demos related to Cognitive Services, Azure IOT and Power BI. I conducted two demos related to Cosmos DB Graph database and the CNTK deep learning algorithm on an N Series GPU machine.
Please watch the video below and let us know if you have any questions.