Introduction to Computer Vision and Image Processing
Completed by Daniel Suh
March 27, 2021
23 hours (approximately)
Daniel Suh'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
- Category: Transfer Learning
- Category: Machine Learning Methods
- Category: Model Optimization
- Category: Image Quality
- Category: Convolutional Neural Networks
- Category: Deep Learning
- Category: Model Evaluation
- Category: Classification Algorithms
- Category: Model Training
- Category: Network Architecture
- Category: Computer Vision
- Category: Machine Learning Algorithms
