Bring your deep learning models to production with CNTK on Java
Filed in Machine Learning
Discover how you can use Cognitive Toolkit to bring your models to production with Python and Java.
Read moreDiscover how you can use Cognitive Toolkit to bring your models to production with Python and Java.
Read moreCurrently when you want to build a chat bot in Microsoft Bot Builder you have to deal with the rather complicated dialog system. I really don't like it, but there isn't a very good alternative yet. I
Read moreWhen you're building complex neural networks you often want to visualize them. Visualization offers a great way to debug things like performance bottlenecks, because parts of your network get duplicated by CNTK. Luckely, it is quite easy to visualize a neural network in CNTK. Here's how.
Read moreMicrosoft cognitive toolkit supports loading and saving models in ONNX format, which enables you as a developer to run your trained network on Java and C# with much better overall performance than you can get with Python.
Read moreYou can train any model you like for your AI solution, but it is only as good as the data you feed it. But how do you measure the performance of a machine learning model? In this third part of the series on AI models I will show you how.
Read moreSetting up a proper development environment for Python and Data Science projects can be hard on Windows. Python's origin isn't on Windows which shows, but you can get it to work with just a few tweaks. Here's how.
Read moreVacation time, an excellent time to learn something new, so I figured, why not build a recipe bot that recommends recipes? For that I needed a way to store recipes that the bot could retrieve. And I figured, why not try to build that in Python with Django?
Read moreAs part of a Community Hack at Microsoft Denmark people can hack together basic AI models with CNTK. Two fellow MVPs asked me if they could use Docker to work on CNTK applications. Sure you can work
Read moreEvery once in a while you run across something that you just have to have. I bumped into a cool little device, the Nvidia Jetson TX1. This is a creditcard size AI computer that looks to be fun. So I had to try it.
Read moreSetting up a machine learning algorithm involves more than the algorithm itself. You need to preprocess the data in order for it to fit the algorithm. It's this preprocessing pipeline that often requires a lot of work. Building a flexible pipeline is key. Here's how you can build it in python.
Read moreWhen you work with Linux machines on Amazon EC2 or Azure over SSH and want to edit interactive python code you've got a challenge. There is vim and other console based editors, but that might not be what you want. Here's how you can edit python code in your browser over SSH in 4 steps.
Read moreWhen you are developing packages for Python you need some way to test whether your package works on someone else's computer. Tox is a great tool for this, but doesn't work well with Anaconda. With some basic steps however you can have your code tested on tox without much trouble.
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