The course will cover basics as well as recent advancements in these areas, which will help the student learn the basics as well as become proficient in applying these methods to real-world applications.
Course Instructor
Prof. Vineeth N Balasubramanian
Vineeth N Balasubramanian is an Associate Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology, Hyderabad (IIT-H), as well as serves as the Head of the Department of Artificial Intelligence at IIT-H. His research interests include deep learning, machine learning, and computer vision. His research has been published at premier peer-reviewed venues including ICML, CVPR, ICCV, KDD, ICDM, IEEE TPAMI and ACM MM. His PhD dissertation at Arizona State University on the Conformal Predictions framework was nominated for the Outstanding PhD Dissertation at the Department of Computer Science. He is an active reviewer/contributor at many conferences such as NeurIPS, CVPR, ICCV, AAAI, IJCAI, ACM MM with a recent award as an Outstanding Reviewer at CVPR 2019, as well as journals including IEEE TPAMI, IEEE TNNLS, JMLR and Machine Learning. He currently serves as the Secretary of the AAAI India Chapter. For more details, please see https://iith.ac.in/~vineethnb/.
Teaching Assistant(s)
No teaching assistant data available for this course yet
AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75 AND FINAL SCORE >=40
BASED ON THE FINAL SCORE, Certificate criteria will be as below:
>=90 - Elite + Gold
75-89 -Elite + Silver
>=60 - Elite
40-59 - Successfully Completed
Final Score Calculation Logic
Assignment Score = 15% weightage: Weekly quizzes (best 8 of 12) and 10% weightage: Programming assignments (best 3 of 6)
Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score
Note:
A1-A12 - Weekly quizzes
A13-A18 - Programming assignments
Note : We have taken best assignment score from both July 2020 and july 2021 courses
Deep Learning for Computer Vision - Toppers list
APOORVA SRIVASTAVA 99%
International Institute of Information Technology
RIJUL SINGH 87%
MURALI KRISHNA K N 86%
JIBIN B THOMAS 84%
NATIONAL INSTITUTE OF TECHNOLOGY CALICUT
POOJA SUBRAMANIAM 84%
SASTRA DEEMED TO BE UNIVERSITY
Enrollment Statistics
Total Enrollment: 6424
Registration Statistics
Total Registration : 208
Assignment Statistics
Assignment Exam score Final score
Score Distribution Graph - Legend
Assignment Score: Distribution of average scores garnered by students per assignment.
Exam Score : Distribution of the final exam score of students.
Final Score : Distribution of the combined score of assignments and final exam, based on the score logic.