- Visualization (Computer Graphics)
- Computer Vision
- Network Architecture
- Model Evaluation
- Convolutional Neural Networks
- Deep Learning
- Transfer Learning
- Machine Learning Methods
- Machine Learning Algorithms
- Feature Engineering
- Classification Algorithms
Introduction to Computer Vision and Image Processing
Completed by Prathik Balachandran
February 8, 2021
23 hours (approximately)
Prathik Balachandran'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
