- Artificial Intelligence and Machine Learning (AI/ML)
- PyTorch (Machine Learning Library)
- Algorithms
- Computer Programming
- Supervised Learning
- Data Processing
- Keras (Neural Network Library)
- Image Analysis
- Artificial Neural Networks
- Deep Learning
- Tensorflow
- Cloud Applications
Introduction to Computer Vision and Image Processing
Completed by AHSAN NAZIR
January 15, 2024
22 hours (approximately)
AHSAN NAZIR'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
