via Neural Nets in Azure ML – Introduction to Net# – Machine Learning – Site Home – TechNet Blogs.
Neural networks are one of the most popular machine learning algorithms today. One of the challenges when using neural networks is how to define a network topology given the variety of possible layer types, connections among them, and activation functions. Net# solves this problem by providing a succinct way to define almost any neural network architecture in a descriptive, easy-to-read format. This post provides a short tutorial for building a neural network using the Net# language to classify images of handwritten numeric digits in Microsoft Azure Machine Learning.
It is useful to have basic knowledge of neural networks for this tutorial. The following links provide good starting points to catch up:
Earlier this week we talked about getting up and running on Azure to start exploring the new machine learning service. From here, you can really start to dig in and try out the capabilities of a cloud ML and put predictive analytics into practice. Read more>>
Earlier this summer at WPC, we announced the preview of Microsoft Azure Machine Learning, a fully-managed cloud service for building predictive analytics solutions. With this service, you can overcome the challenges most businesses have in deploying and using machine learning. How? By delivering a comprehensive machine learning service that has all the benefits of the cloud. In mere hours, with Azure ML, customers and partners can build data-driven applications to predict, forecast and change future outcomes – a process that previously took weeks and months. Read more>>