Data scientists have a dynamic role. They need environments that are fast and flexible while upholding their organization’s security and compliance policies. Notebook Virtual Machine (VM), announced in May 2019, resolves these conflicting requirements while simplifying the overall experience for data scientists.
We are happy to announce that Microsoft and Intel are partnering to bring optimized deep learning frameworks to Azure. These optimizations are available in a new offering on the Azure marketplace called the Intel Optimized Data Science VM for Linux (Ubuntu).
Drilling for oil and gas is one of the most dangerous jobs on Earth. Workers are exposed to the risk of events ranging from small equipment malfunctions to entire off shore rigs catching on fire.
As a modern developer, you may be eager to build your own deep learning models, but aren’t quite sure where to start. If this is you, I recommend you take a look at the deep learning course from fast.ai. This new fast.ai course helps software developers start building their own state-of-the-art deep learning models.
Choosing the right type of hardware for deep learning tasks is a widely discussed topic. An obvious conclusion is that the decision should be dependent on the task at hand and based on factors such as throughput requirements and cost.
We used reinforcement learning and CNTK to train a neural network to guess hidden words in a game of Hangman. Our trained model has no reliance on a reference dictionary: it takes as input a variable-length, partially-obscured word (consisting of blank spaces and any correctly-guessed letters) and a binary vector indicating which letters have already been guessed. In the git repository associated with this post, we provide sample code for training the neural network and deploying it in an Azure Web App for gameplay.
This notebook serves as a tutorial for beginners looking to apply deep learning in predictive maintenance domain.
Azure offers several ways of deploying a deep-learning model (e.g. CNTK): Windows Web App, Linux (Docker) Web App, and Azure Container Services (Docker). Both of the Docker methods are perhaps more…
Deep learning is behind many recent breakthroughs in Artificial Intelligence, including speech recognition, language understanding and computer vision. At Microsoft, it is changing customer experience in many of our applications and services, including Cortana, Bing, Office 365, SwiftKey, Skype Translate, Dynamics 365, and HoloLens.