Introduction to Computer Vision and Image Processing
Completed by SHUNSUKE YAMAMOTO
February 20, 2024
23 hours (approximately)
SHUNSUKE YAMAMOTO'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: Convolutional Neural Networks
- Category: Computer Vision
- Category: Classification Algorithms
- Category: Model Optimization
- Category: Transfer Learning
- Category: Fine-tuning
- Category: Deep Learning
- Category: Model Evaluation
- Category: Model Training
- Category: Machine Learning Algorithms
- Category: Network Architecture
- Category: Machine Learning Methods
