Computer Vision made easy: from pre-trained models to custom ones, Cognitive Services has you covered.
In this video, Kelly Freed, PM on the Azure Cognitive Services team, and learn about the latest technologies in Computer Vision such as analyzing images, extracting insights from your pictures and videos, recognizing common objects, and more.
The AI Show has just uploaded a new episode that takes a quick tour of computer vision and see an example of how to use the Custom Vision service, object detection model to solve a fun use case.
Yesterday, I was in Philadelphia presenting a session at AI Discovery Day on Computer Vision Cognitive Services.
The labs for this session are on GitHub: https://github.com/Azure/LearnAI-Bootcamp/tree/master/lab01.1-computer_vision
These events will be taking place across the US. Here are a few dates and links to registration.
Press the play button below to listen here or visit the show page at DataDriven.tv
Earlier today, I wrote a blog post about Video-to-Video synthesis done by researchers at Nvidia. The Washington Post highlights how the Silicon Valley company founded in 1993, best known for graphics cards, has embedded itself in nearly every autonomous vehicle effort.
See why in this video and how their AI deep learning is changing autonomous vehicles.
If you thought the technology behind Deep Fakes was impressive, then you will be floored by this demonstration of “Video-to-Video Synthesis.”
Best of all: the code is available on GitHub
Here’s another great Two Minute Papers video on DeepMind’s venture into computer vision.
In this age of PhotoShop and Instagram filters, detecting a real image from an altered one is getting more difficult.
Naturally, there’s an AI research paper for that. Watch this video by Two Minute Papers to learn more.
Content moderation is the process of monitoring for possible offensive, undesirable, and risque content.
Content Moderator, a Cognitive Services product, combines machine-assisted content moderation APIs and human review tool for images, text, and videos into a complete content moderation solution. In this episode, we will get an overview of Content Moderator and learn about its video moderation capabilities.
In this video, learn about the API and the human review capabilities in Content Moderator.
Here is a primer to introduce the concepts of deep learning with a specific focus on computer vision. It covers concepts including CNN’s (Convolutional Neural Networks), deep learning and transfer learning. It was created as an introduction for people getting started with machine learning and specifically deep learning to explain some of the commonly used terms and introduce some of the popular approaches to solving computer vision challenges.
Siraj Raval demonstrates how to use TensorFlow to track people’s facial expressions and body positions with a regular webcam.
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