About The Course
The course explores basics of machine learning and the Turing Test, as well as an overview of supervised, semi-supervised, unsupervised and reinforcement learning. Topics include deep convolutional neural networks, long short-term memory networks, autoencoders and variational autoencoders, Generative Adversarial Networks, Siamese Networks and recent developments in machine learning. Involves implementation of several projects and hence, practical training in the subject.
Course Instructor: Dr. Usman Tariq
My Course Grade: TBA
Documents
Course Syllabus:
My Course Project:
Progress Report 1:
Progress Report 2:
Final Report:
Taha Ameen 