Deep Learning

Three things to know about Azure Machine Learning Notebook VM

10 Haziran 2019 Pazartesi

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.

Principal Program Manager, Azure Machine Learning

Build your own deep learning models on Azure Data Science Virtual Machines

5 Şubat 2019 Salı

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.

Principal Program Manager, Microsoft

Training a neural network to play Hangman without a dictionary

27 Temmuz 2017 Perşembe

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.

Data Scientist II

From “A PC on every desktop” to “Deep Learning in every software”

29 Kasım 2016 Salı

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.

Corporate Vice President, Artificial Intelligence & Research