- Feature Engineering
- Machine Learning Methods
- Model Evaluation
- Classification Algorithms
- Computer Vision
- Transfer Learning
- Machine Learning Algorithms
- Network Architecture
- Convolutional Neural Networks
- Visualization (Computer Graphics)
- Deep Learning
Introduction to Computer Vision and Image Processing
Completed by ANDRES ARIAS ROSALES
September 12, 2023
23 hours (approximately)
ANDRES ARIAS ROSALES'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
