- Machine Learning Methods
- Network Architecture
- Convolutional Neural Networks
- Transfer Learning
- Deep Learning
- Model Evaluation
- Visualization (Computer Graphics)
- Classification Algorithms
- Computer Vision
- Feature Engineering
- Machine Learning Algorithms
Introduction to Computer Vision and Image Processing
Completed by Jaydeep Dey
April 9, 2023
23 hours (approximately)
Jaydeep Dey'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
