“Deep Learning” is an advanced computational learning strategy concerned with techniques and methodologies inspired by the function of the human brain. Deep Learning is a type of neural network whose usage has taken off over the past few years. Now, many scientific and industrial disciplines use this approach to discover hidden patterns and facts from massive and diverse data sources. Deep Learning is very promising in a wide variety of applications ranging from object tagging and speech recognition to disease diagnosis and treatment.

This workshop presents deep learning from a computational perspective. The currently available state-of-the-art deep learning components are introduced, deep learning strategies (both what they do and how they work) are elaborated and some real world deep learning applications will be given. This 2-days jump start workshop is designed to introduce you to the skills needed to start your journey as a deep learning developer. This workshop is designed in a series of hands-on and cutting-edge development in this field, and it is targeted for developers and data scientists who are looking to build AI powered solutions in real-world applications.

28-31 August

All engineers in different disciplines, especially computer, electrical and mechanical engineers can easily follow the workshop. Senior engineering student at bachelor’s level can also follow the content. Masters and Ph.D. students and graduates who are willing to further expand their knowledge in applied robotics, and deep learning methods can mostly benefit from this jump start workshop. It is intended that the potential developers and data scientists who are looking to build AI powered solutions in robotics application get the most out of this workshop.