Teach a Machine Using Your Camera in Your Browser

Roland Meertens. InfoQueue. 2017-10-05.
In the demo you use your webcam to recognize three different classes of objects or expressions. Based on your camera input, the site shows different gifs, plays prerecorded sounds, or plays speech. No coding of the user is required, and no hyper-parameters or network architecture has to be programmed. The only feedback from the machine the user has, is the confidence the machine has in each of the predicted classes. Based on the recognized class, the machine shows one of three different gifs: a cat, a dog, or a cute bunny. Users can also program several sounds or words, but can’t mix the output modalities. A great explanation of how to use the Teachable Machine can be found on Youtube.

[Teach a Machine Using Your Camera in Your Browser]


Accord.NET Framework

Machine learning made in a minute
The Accord.NET Framework is a .NET machine learning framework combined with audio and image processing libraries completely written in C#. It is a complete framework for building production-grade computer vision, computer audition, signal processing and statistics applications even for commercial use. A comprehensive set of sample applications provide a fast start to get up and running quickly, and an extensive documentation and wiki helps fill in the details.

[Accord.NET Framework]

NET Machine Learning: F# and Accord.NET

Alena Hall. InfoQ.
Alena Hall presents various machine learning algorithms available in Accord.NET – a framework for machine learning and scientific computing in .NET. Hall also takes a look at sample types of problems to see how we can apply machine learning algorithms using the Accord.NET framework with the F# functional approach.