CS 291K: Introduction to Deep Learning

CS291K is a graduate-level introductory course to machine learning, in particular deep learning and will cover mostly DL topics developed in the past 4 to 5 years. While previous exposure to pattern recognition, machine learning, artificial intelligence and neural networks is not required, older topics (more than 4 or 5 years old) will not be discussed in any detail. Graduate-level preparation in math (especially probability, random processes, and linear algebra) is a must and students should know how to program in Python.