Deep learning is an area within machine learning that deals with algorithms and models that automatically induce multi-level data representations.

In recent years, deep learning and deep networks have significantly improved the state-of-the-art in many application domains such as computer vision, speech recognition, and natural language processing. This class will cover the fundamentals of deep learning and provide a rich set of hands-on tasks and practical projects to familiarize students with this emerging technology.

Responsible for giving tutorials covering part of the topics taught in lecture, making exam questions, project grading.

Convolutional Neural Networks, CNNs in Computer Vision

Deep Learning Theory