- Machine Learning Methods
- Network Architecture
- Deep Learning
- Machine Learning Algorithms
- Convolutional Neural Networks
- Feature Engineering
- Transfer Learning
- Computer Vision
- Classification Algorithms
- Model Evaluation
- Visualization (Computer Graphics)
Introduction to Computer Vision and Image Processing
Completed by Steven Lim
July 30, 2024
23 hours (approximately)
Steven Lim'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
