- Visualization (Computer Graphics)
- Machine Learning Methods
- Network Architecture
- Feature Engineering
- Deep Learning
- Model Evaluation
- Machine Learning Algorithms
- Classification Algorithms
- Convolutional Neural Networks
- Transfer Learning
- Computer Vision
Introduction to Computer Vision and Image Processing
Completed by Amirul ian rashidee Mohd Jasni
July 14, 2024
23 hours (approximately)
Amirul ian rashidee Mohd Jasni'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
