1^st PPRS Autumn School on Deep Learning

Focus Areas

The school will highlight the following core areas:

• Detail understanding of working of Unmanned Aerial Vehicles (UAVs).
• Get a hands on experience to configure and fly UAVs.
• Data acquisition from UAVs.
• Extracting information from 2D images using Deep Learning techniques.
• Use of Deep Learing Algorithms for object tracking in the videos acquired using UAVs.

The school is organized with the motivation to promulgate advanced machine learning and computer vision techniques and their applications. The school will be conducted by well-renowned experts and researchers in their domains.

Highlights

• Applications of Deep Learning combined with Unmanned Aerial Vehicles.
• Experts will conduct tutorial style classes and “hands-on” laboratory classes.
• Real-Time Deep Learning based Computer Vision techniques will be explored to process the data aquired from UAVs.

Vision

Build a strong teaching and research environment that strengthens the intellectual endeavor in the field of deep machine learning and computer vision.

Mission

To radically assist the students and researchers in excelling the deep learning techniques on remotely acquired data through UAVs.