- Artificial Intelligence and Machine Learning (AI/ML)
- PyTorch (Machine Learning Library)
- Algorithms
- Computer Programming
- Supervised Learning
- Cloud Development
- Data Processing
- Machine Learning
- Image Analysis
- Artificial Neural Networks
- Deep Learning
- Tensorflow
Introduction to Computer Vision and Image Processing
Completed by Kaiki Ikeda
June 25, 2024
22 hours (approximately)
Kaiki Ikeda's account is verified. Coursera certifies their successful completion of Introduction to Computer Vision and Image Processing
What you will learn
Describe the applications of computer vision across different industries.
Apply image processing and analysis techniques to computer vision problems.
Utilize Python, Pillow, and OpenCV for basic image processing and perform image classification and object detection.
Create an image classifier using Supervised learning techniques.
Skills you will gain
