Getting Started with Deep Learning
I have recently started to work on a set of introductory videos focusing on deep learning and neural networks. The goal of these videos is to explain some of the basic concepts behind various types of neural networks and then give you a hands-on example to show you how you can build your own neural network. I showcase a variety of frameworks such as Keras, CNTK and Tensorflow. I also use a variety of tools from Jupyter Notebooks through to Azure Machine Learning Workbench. I will continue to add more videos over time. You can check out the full collection here.
CNTK and Keras in Azure Notebooks
Being doing some work with Keras recently, which is a fantastic platform for making it simple to build out neural networks. Even better, it abstracts the underlying framework and allows you to use the one of your choice such as Tensorflow or CNTK without having to change your Keras code. With a simple config change you can switch the backend.
Seamless Migration to Azure SQL Database with the Database Migration Service
Back in May, at the Build conference, Microsoft announced a new service - the Azure Database Migration Service. Now the service is available in public preview. It is the quickest and easiest way to migrate on-premises databases into the cloud. The new service uses a simple, guided process to streamline the migration and allow for current operations to continue while the migration is happening.
A Lap Around Some Machine Learning Frameworks
Below I have highlighted some of the commonly used, open source, machine learning frameworks you will find in use today.
The Secrets of Magic or Using PROSE to transform JSON
Sometimes you come across something that just blows you away. I had this experience recently with the Program Synthesis by Example functionality in the newly release Azure Machine Learning Workbench.