Advanced Deep Learning for Image Analysis
Mumbai , India
Visit Program Website
Tuition Fee
Start Date
2026-03-01
Medium of studying
Duration
Details
Program Details
Degree
Masters
Major
Artificial Intelligence | Computer Science | Data Science
Area of study
Information and Communication Technologies | Engineering
Course Language
English
Intakes
| Program start date | Application deadline |
| 2026-03-01 | - |
About Program
Program Overview
Academics
The university offers various academic programs, including:
- M.Tech. Programme
- Ph.D. Programme
- U.G. Minor
- Institute Elective
Research
The research areas and facilities are:
- Research Areas
- Research Facilities
Course Description
GNR 650 Advanced Deep Learning for Image Analysis
The course covers advanced deep learning techniques used to solve critical inference problems in remote sensing, image analysis, and computer vision. The learning paradigms include:
- Meta-learning and few-shot learning
- Zero-shot learning
- Self-supervised learning
- Multi-modal learning
- Multi-task learning
- Continual learning
- Domain adaptation and generalization
- Uncertainty estimation in deep learning The course applies these learning algorithms to visual inference tasks, focusing on image classification and semantic segmentation, with a running example of land-cover classification from remote sensing images.
People
The university has:
- Faculty
- Staff
- M.Tech. Students
- Ph.D. Students
- Alumni
Outreach
The outreach programs include:
- ISRO-IITB Technology Cell
- Educational Programmes
- Workshop ISRO:IITB(STC)
See More
