- Transfer Learning
- Model Evaluation
- Network Architecture
- Convolutional Neural Networks
- Machine Learning Methods
- Machine Learning Algorithms
- Deep Learning
- Visualization (Computer Graphics)
- Computer Vision
- Classification Algorithms
- Feature Engineering
Introduction to Computer Vision and Image Processing
Completed by Shree Krishna Acharya
November 23, 2024
23 hours (approximately)
Shree Krishna Acharya'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
