- Visualization (Computer Graphics)
- Network Architecture
- Feature Engineering
- Model Evaluation
- Machine Learning Methods
- Transfer Learning
- Deep Learning
- Computer Vision
- Machine Learning Algorithms
- Convolutional Neural Networks
- Classification Algorithms
Introduction to Computer Vision and Image Processing
Completed by RYUF FUAD A ALDAKAN RYUF FUAD A ALDAKAN
August 5, 2024
23 hours (approximately)
RYUF FUAD A ALDAKAN RYUF FUAD A ALDAKAN'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
