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Deep Representation Learning
May 23, 2017 @ 11:00 am - 12:00 pm
Deep learning has recently attracted a lot of attention from academia and industry. In this talk we discuss the basic building blocks of deep learning – autoencoders, restricted Botlzmann machine and convolutional neural network. These three techniques are born out of the machine learning community. We also discuss about two powerful representation learning tools from the signal processing community – dictionary learning and transform learning. We show how in the recent past (last one year) dictionary learning has been used for building deeper architectures. We conclude the talk with the deeper versions of transform learning – a topic that is going to be realized in the near future.
Speaker(s): Dr. Angshul Majumdar,
Simon Fraser University
8888 University Drive
Burnaby, British Columbia