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.

Josh Gordon sits down with J.J. Allaire, the founder of RStudio. They discuss TensorFlow and Keras support in R, and the educational resources available for R developers new to deep learning. Learn more about the R interface to Keras, TensorFlow Estimators, and the Core TensorFlow API that allows the R community access to many machine learning tools.

In the fifth episode of this series, Dmitry Lyalin and Suz Hinton continue covering Windows IoT Core fundamentals using a custom built smart IoT device prototype. This time they’ll be walking through using Azure IoT Hub’s Device Methods to control the device remotely. You’ll learn how to remotely capture photos from a smart device and store them with a few lines of C# and Azure Blob Storage connected to Azure IoT Hub.

Resources

In the fourth episode of this series, Dmirty and Suz connect the smart home device to the outside world for monitoring purposes. The temperature readings from the climate sensor can be pushed to Azure IoT Hub for consumption by cloud based software, such as Azure IoT Central.

A walkthrough of both these Azure services will be conducted, featuring both code and high level architectural explanations. Some example scenarios will be covered to give you an overview of the practical applications of monitoring telemetry from smart devices.

Resources:

  1. Smart Home Device source code on GitHub
  2. Azure IoT Hub Documentation
  3. Azure IoT Central
  4. Create a Free Account (Azure): https://aka.ms/c9-azurefree