CSCI 481 - Deep Learning

Covers the fundamentals of deep learning, including important models, such as deep feedforward, recurrent, convolutional and transformer neural networks, and algorithms and considerations for training them. The application of deep learning to domains such as natural language, speech and vision will also be discussed.

Prerequisites & Notes: DATA 471 or instructor permission.
Credits: 4
Grade Mode: Letter