Events

2018

Machine Learning finds application in areas as diverse as neuroscience, biomedical informatics, drug discovery, speech recognition, language processing, computer vision, recommender systems, learning theory, robotics and games. In continutian to our previous series to summer school's, this year's theme is "Advances In Modern AI".

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Computer Vision is a rapidly evolving field with its applications being steadily integrated into our day to day lives. The field has received a wide interest from various stakeholders ranging from theoretical researchers, application designers and developers and even business entities. In continutian of our previous summer school's, this year's theme is "Basics of Modern AI".

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2017

The ML summer school is slightly theoretical in nature but sufficient practical exercises would be covered to enable a better understanding of the theoretical track. Primary theme for this year’s summer school is chosen to be Deep Learning, seeing the recent trends of its rise. Experts in the field will deliver talks to share their views and works with the attendees and you are more than welcome to interact and discuss ideas with the speakers. It will also be a good platform to bounce ideas amongst other like-minded enthusiasts. The primary focus of the summer school this time would be on the more recent advancements in the field of Deep Learning.

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The summer school curriculum roughly consists of a series of lectures and demo/labs sessions designed to work in tandem to help you make the most out of the program. Experts in the field will deliver talks to share their views and works with the attendees and you are more than welcome to interact and discuss ideas with the speakers. It will also be a good platform to bounce ideas amongst other like-minded enthusiasts. This time we aim to have a special focus on the recent advances in the area.

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2016

Deep learning has resulted in the best solutions for many challenging computer vision problems in recent years. The summer school on "Deep Learning for Computer Vision" at IIIT Hyderabad aims to keep the pace with the rapid growth in this field, and expose the advances to the researchers and students. Summer school will focus on foundations, recent advances and the practical aspects of using deep learning for a variety of computer vision problems.

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