Deep Learning

Catalog description

A project-based introduction to deep learning architectures, algorithms and applications. Includes multilayer perceptrons, convolutional neural networks, recurrent neural networks and transformers, theory and implementation of learning algorithms, training and tuning procedures, applications to computer vision and natural language processing. Prerequisite: Programming skills equivalent to CSE 1001 , basic knowledge of linear algebra as in MTH 2202