Introduction to Machine Learning

3 credits · Graduate Programs

Overview of the historical context that allowed deep learning to flourish. Different types of neural networks; how to train and deploy them in various problems; Fine-tuning pre-trained models to achieve state-of-the-art results in relevant applications; overview of the current trends in deep learning. Prerequisite(s): Admission to the MEng with specialization in Software Engineering. Antirequisite(s): Credit for Software Engineering for Engineers 617 and Electrical Engineering 619.51, 645 or 682 will not be allowed.