Deep Learning
ENG EC 523
Undergraduate Prerequisites: A strong mathematical background in calculus, linear algebra, and prob ability & statistics, as well as prior coursework in machine learning and programming experience in Python. - Mathematical and machine learning background for deep learning. Feed-forward networks., Backpropagation. Training strategies for deep networks. Convolutional networks. Recurrent neural networks. Deep reinforcement learning. Deep unsupervised learning. Exposure to Pytorch and other modern programming tools. Other recent topics, time permitting. Same as CAS CS 523. Students may not receive credit for both.
FALL 2024 Schedule
| Section | Instructor | Location | Schedule | Notes |
|---|---|---|---|---|
| A1 | Batmanghelich | SAR 101 | MW 2:30 pm-4:15 pm | Dept consent requires students to add themselves to the waitlist. |
SPRG 2025 Schedule
| Section | Instructor | Location | Schedule | Notes |
|---|---|---|---|---|
| A1 | Kulis | PHO 205 | TR 1:30 pm-3:15 pm | **Permission is not required** Please add yourself to the waitlist: https://ece.wufoo.com/forms/svuoaf00k3zvnm/ **No longer meets w/ CAS CS523** |
Note that this information may change at any time. Please visit the MyBU Student Portal for the most up-to-date course information.
