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Zero-Shot Learning of Novel Object Categories


Are you interested in exploring the possibilities of Zero-shot Learning?
We are arranging a webinar to talk about Zero-Shot Learning of Novel Object Categories.
Zero-shot learning refers to a specific use case of machine learning (and therefore deep learning) where you want the model to classify data based on very few or even no labeled example, which means classifying on the fly. In other word, zero-shot learning is about leveraging deep learning networks already trained by supervised learning in other ways, without additional supervised learning.
Zero-shot learning could yield extremely interesting applications, especially where we lack proper datasets. As you may know,in almost all computer vision projects , the lack of data is a huge issue. Zero-Shot Learning is a very new area of research, but it is an unquestionable fact that it has a very high potential and it is one of the leading research topics in Computer Vision.
Join our Webinar on Zero-Shot Learning and spend some productive time exchanging knowledge with our special guest, Shafin Rahman.

Speaker Profile

Dr. Shafin Rahman
Assistant Professor, Department of Electrical and Computer Engineering (ECE),North South University
Ph.D. , Australian National University (ANU), Australia
M.Sc. in Computer Science, University of Manitoba, Canada
B.Sc in Computer Science and Engineering (CSE),Bangladesh University of Engineering and Technology, Bangladesh