Mech DAMP Blog

GNR650 - Deep Learning for Image Analysis

GNR650 - Deep Learning for Image Analysis

Instructor

Prof. Biplab Banerjee

Semester

Autumn 2022-23

Course Difficulty

The course difficulty is quite variable, it depends on the student’s expertise in Computer Vision (CV). Someone with a fair background would find the course easy and it only a little bit of time to cover up on the topics covered. On the other hand, if you have no background in CV, it get extremely difficult very quickly since the prof skims over the topics rather than go in depth.

Time commitment needed

Very low if you have a background in CV, otherwise medium to difficult

Grading Statistics

The grading was above average and students can easily get a 9 with minimal efforts

Teaching Style

The teaching isn’t great. Prof has all kinds of logistical nightmares, often not mentioning deadlines for assignments and they themselves are extremely vague in nature

Feedback on Assignments/ Tutorials/ Projects

Assignments are very vague; Project is more or less open ended

Feedback on Exams (Written Evaluation)

Just one midsem with conceptual questions

Future Tracks

Any other CV courses

Course Importance

Can be a good intro course to CV

Contact Details

Manav Doshi - 7506807326