- Machine Learning Methods
- Deep Learning
- Machine Learning Algorithms
- Convolutional Neural Networks
- Transfer Learning
- Network Architecture
- Computer Vision
- Model Evaluation
- Feature Engineering
- Visualization (Computer Graphics)
- Classification Algorithms
Introduction to Computer Vision and Image Processing
Completed by Adrián Jiménez Benítez
August 18, 2024
23 hours (approximately)
Adrián Jiménez Benítez'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
