- Deep Learning
- Machine Learning Algorithms
- Feature Engineering
- Computer Vision
- Transfer Learning
- Visualization (Computer Graphics)
- Model Evaluation
- Classification Algorithms
- Network Architecture
- Machine Learning Methods
- Convolutional Neural Networks
Introduction to Computer Vision and Image Processing
Completed by Tan Duong
March 25, 2023
23 hours (approximately)
Tan Duong'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
