- Data Synthesis
- Image Analysis
- Medical Imaging
- PyTorch (Machine Learning Library)
- Anomaly Detection
- Deep Learning
- Unsupervised Learning
- Application Deployment
- Computer Vision
- Matlab
Advanced Deep Learning Techniques for Computer Vision
Completed by Muhammad Dzakwan
August 2, 2024
7 hours (approximately)
Muhammad Dzakwan '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
