CSCI 481 - Deep Learning

Covers the fundamentals of deep learning, including important models, such as deep feedforward, recurrent and convolutional neural networks, as well as the 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: CSCI 241; MATH 204; MATH 341; MATH 224 is recommended.
Credits: 4
Grade Mode: Letter