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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.

Scope

• Fundamentals of Neural Networks
• Architectures such as
- Convolutional Neural Nets
- Recurrent Neural Nets
- Auto Encoders
• New Architectures and Applications
• Recent Advances and Case Studies

The expected participants are research students pursuing PhD, and working professionals with active interest in this area. Participants should have experience in programming and exposure to the basics of machine learning and computer vision.