- Transfer Learning
- Machine Learning Algorithms
- Model Evaluation
- Classification Algorithms
- Machine Learning Methods
- Visualization (Computer Graphics)
- Deep Learning
- Network Architecture
- Feature Engineering
- Computer Vision
- Convolutional Neural Networks
Introduction to Computer Vision and Image Processing
Completed by Azita Asefi
February 26, 2021
23 hours (approximately)
Azita Asefi'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
