- Matlab
- PyTorch (Machine Learning Library)
- Deep Learning
- Computer Vision
- Anomaly Detection
- Image Analysis
- Application Deployment
- Medical Imaging
- Unsupervised Learning
- Data Synthesis
Advanced Deep Learning Techniques for Computer Vision
Completed by Maen Sadeq Rabah Takruri
June 10, 2024
7 hours (approximately)
Maen Sadeq Rabah Takruri's account is verified. Coursera certifies their successful completion of Advanced Deep Learning Techniques for Computer Vision
What you will learn
Train and calibrate specialized models known as anomaly detectors
Generate synthetic training images for situations where acquiring more data is expensive or impossible
Use AI-assisted auto-labeling to save time and money
Import models from 3rd party tools like PyTorch and export your model outside of MATLAB
Skills you will gain
