Instructor
Learning Outcome
Students should be able to understand, identify use cases of computer vision, and describe its underlying working
1.1 Introduction to Basic Classification (Dog, and Cat) use case.
1.2 Extending the intelligence to multiple classes.
1.3 Extending to understanding faces, and objects.
Practical Component
Practical Demonstrations on working of various algorithms for the use case, to understand the need and innovation outcomes, working alongside to change parameters and understand key concepts and dependencies with the lab.
This course includes 2 modules, 1 lessons, and 0 hours of materials.
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