Covers fundamentals of neural networks and deep learning and their use to address many societal problems. Students will learn to design and implement neural network architectures, train them, and evaluate their performance. Included will be examination of popular architectures such as fully connected, convolutional, recurrent, and transformer-based networks alongside learning strategies such as backpropagation, regularization, and transfer learning. Students will also gain practical, hands-on experience by applying learned skills to analyze visual and textual data. Same as CSCI 4922.
instructor(s)
Gates, Ami
Primary Instructor
- Fall 2022 / Fall 2023 / Fall 2024
Gurari, Danna
Primary Instructor
- Spring 2022 / Fall 2022 / Spring 2024 / Spring 2025 / Spring 2026
