- Graph Theory
- Machine Learning Algorithms
- Unsupervised Learning
- Deep Learning
- Algorithms
- Artificial Neural Networks
- Machine Learning Methods
- Dimensionality Reduction
- Image Analysis
- Computer Vision
Visual Perception
Completed by Jieun Ko
April 9, 2024
83 hours (approximately)
Jieun Ko's account is verified. Coursera certifies their successful completion of Visual Perception
What you will learn
Design algorithms for detecting meaningful changes in a scene
Develop methods for tracking objects in a video while the object undergoes changes in pose and illumination
Learn several approaches to segmenting an image into meaningful regions
Create an end-to-end pipeline for learning and recognizing objects based on their visual appearance
Skills you will gain
