A critical auditing app was as down as the floor of the Grand Canyon. And each day it was down was a six-figure fine.
Are you tired of manually configuring IIS sites (adding Web sites, application pools, virtual directories and so on)? Use C# and the Microsoft.Web.Administration Namespace to simplify your life (or at least IIS configuration).
- By Patrick Steele
- 06/24/2014
Ondrej Balas continues his discussion on refactoring your code for dependency injection, this time focusing on the composition root pattern.
- By Ondrej Balas
- 06/18/2014
Deep Neural Networks are the more computationally powerful cousins to regular neural networks. Learn exactly what DNNs are and why they are the hottest topic in machine learning research.
- By James McCaffrey
- 06/13/2014
The upgrade is made possible by using SQLitePCL.
Go deeper into the Oculus Rift SDK.
MSDN subscribers can try it for free with their Microsoft-supplied credits.
It's a preview of the next version of the IDE, expected to hit in 2015.
What's proper etiquette for handling code snafus when working for -- literally -- a mom-and-pop company?
Tighter integration with Visual Studio among the highlights.
Learn how to leverage the powerful resource system of Android to support a variety of Android devices and languages.
- By Greg Shackles
- 05/28/2014
The Update comes fewer than two weeks after the official release of Update 2 at TechEd North America.
Take control of your application's behavior and move toward dependency injection by refactoring your existing code.
- By Ondrej Balas
- 05/20/2014
Dropout training is a relatively new algorithm which appears to be highly effective for improving the quality of neural network predictions. It's not yet widely implemented in neural network API libraries. Learn how to use dropout training if it's available in an existing system, or add dropout training to systems where it's not yet available.
- By James McCaffrey
- 05/13/2014
Knockout custom binding handlers can help simplify integration with third-party JavaScript libraries. Here's how.
- By Patrick Steele
- 04/30/2014
To train a neural network you need some measure of error between computed outputs and the desired target outputs of the training data. The most common measure of error is called mean squared error. However, there are some research results that suggest using a different measure, called cross entropy error, is sometimes preferable to using mean squared error.
- By James McCaffrey
- 04/22/2014
Kendo UI Core includes the entire mobile framework.
Also announced was a new interop organization called The .NET Foundation.
The developer preview was released yesterday.
Release Candidate 2 of Visual Studio 2013 also announced.