Presented By O’Reilly and Intel AI
Put AI to work
Sep 4-5, 2018: Training
Sep 5-7, 2018: Tutorials & Conference
San Francisco, CA
Banibrata De

Banibrata De
Software Engineer, Microsoft

Banibrata De is a seasoned software engineer in Microsoft’s Algorithms and Data Science Group in Redmond, where he is the engineer for the Data Science Virtual Machine (DSVM) and works on a variety of solutions to help people democratize AI and ML using cutting-edge tools. Previously, he worked with the Windows Defender team to help protect Microsoft customers against various security vulnerabilities and was a performance software engineer for key Microsoft services and products helping to make the end-user experience enjoyable. He holds a degree in computer science from Jadavpur University, Kolkata, India.

Sessions

9:00am-12:30pm Wednesday, September 5, 2018
Distributed deep learning in the cloud: Build an end-to-end application involving computer vision and geospatial data
Implementing AI, Interacting with AI, Models and Methods
 Location: Union Square 22
Secondary topics:  Computer Vision, Deep Learning tools, Platforms and infrastructure
Mary Wahl (Microsoft), Banibrata De (Microsoft)
High-resolution land cover maps help quantify long-term trends like deforestation and urbanization but are prohibitively costly and time intensive to produce. Mary Wahl and Banibrata De demonstrate how to use Microsoft’s Cognitive Toolkit and Azure cloud resources to produce land cover maps from aerial imagery by training a semantic segmentation DNN—both on single VMs and at scale on GPU clusters. Read more.