Course ID: BSCCS3052
Course Credits: TBD
Course Type: Elective
Pre-requisites: None
Course ID: BSCCS3052
Course Credits: TBD
Course Type: Elective
Pre-requisites: None
What you’ll learn
Course structure & Assessments
11 weeks of coursework, weekly online assignments, 2 in-person invigilated quizzes, 1 in-person invigilated end term exam. For details of standard course structure and assessments, visit Academics page.
WEEK 1 | Datasets |
WEEK 2 | Deep Learning Frameworks |
WEEK 3 | Model training |
WEEK 4 | Hardware for DL |
WEEK 5 | Training with data constraints |
WEEK 6 | Training with hardware constraints |
WEEK 7 | Training models that are efficient for inference |
WEEK 8 | Interpreting models |
WEEK 9 | Security and privacy |
WEEK 10 | Deploying models |
WEEK 11 | Applications of DL |
About the Instructors
Pratyush Kumar is an Assistant Professor at the Department of Computer Science and Engineering at IIT Madras. His research interests are in the areas of systems engineering for deep learning and applications of AI for social good. He holds a PhD from ETH Zurich and a BTech degree from IIT Bombay. He holds over 25 US patents and has co-founded One FourthLabs.