Category Archives: CNTK

I wrote an article titled “Autoencoders for Visualization Using CNTK” in the December 2018 issue of Microsoft MSDN Magazine. See https://msdn.microsoft.com/en-us/magazine/mt832864. An autoencoder is a special type of neural network and is probably best explained by an example. Some training … Continue reading →

I wrote an article titled “Sentiment Analysis Using CNTK” in the October 2018 issue of Microsoft MSDN Magazine. See https://msdn.microsoft.com/en-us/magazine/mt830362. CNTK (“Cognitive Network Tool Kit”) is Microsoft’s neural network library that’s comparable in many ways to Google’s TensorFlow code library … Continue reading →

I hadn’t used CNTK for a few weeks, so I figured I’d implement an autoencoder just to keep my CNTK skills fresh. CNTK is a deep neural network code library from Microsoft. I used the UCI Digits Dataset, which has … Continue reading →

I wrote an article titled “Introduction to DNN Image Classification Using CNTK” in the July 2018 issue of Microsoft MSDN Magazine. See https://msdn.microsoft.com/en-us/magazine/mt847190. Image classification is a standard problem in machine learning. If you have an image (typically a photograph), … Continue reading →

I wrote an article titled “Neural Regression using CNTK” in the June issue of Microsoft MSDN Magazine. See https://msdn.microsoft.com/en-us/magazine/mt846729. The goal of a regression problem is to predict a single numeric value (such as the age of a person) — … Continue reading →

The Embedded Learning Library (ELL) is an open source project. The goal is to create a cross compiler for machine learning models. Briefly, machine learning models, such as those for image recognition, are typically very large in terms of memory. … Continue reading →