- Network Architecture
- Visualization (Computer Graphics)
- Machine Learning Methods
- Convolutional Neural Networks
- Classification Algorithms
- Feature Engineering
- Transfer Learning
- Model Evaluation
- Machine Learning Algorithms
- Deep Learning
- Computer Vision
Introduction to Computer Vision and Image Processing
Completed by Elgoda Ranawakage Nadil Hansith Gunawardane
June 3, 2024
23 hours (approximately)
Elgoda Ranawakage Nadil Hansith Gunawardane's account is verified. Coursera certifies their successful completion of Introduction to Computer Vision and Image Processing
What you will learn
Hands-on skills to apply computer vision across industries such as robotics, autonomous systems, and augmented reality
Practical techniques to process, analyze, and interpret images for intelligent visual insights
How to use Python, Pillow, and OpenCV to perform image filtering, enhancement, classification, and object detection
Step-by-step guidance to build and train an image classifier using supervised learning methods
Skills you will gain
