Mastering Image Segmentation with PyTorch
Completed by DINESH SHRESTHA
October 27, 2024
6 hours (approximately)
DINESH SHRESTHA's account is verified. Coursera certifies their successful completion of Mastering Image Segmentation with PyTorch
What you will learn
Apply multi-class semantic segmentation using PyTorch to real-world datasets.
Analyze the architecture and functionality of UNet and FPN models for effective image segmentation.
Evaluate and select appropriate loss functions and evaluation metrics for optimizing deep learning models.
Skills you will gain
- Category: Model Evaluation
- Category: Data Preprocessing
- Category: Deep Learning
- Category: Performance Tuning
- Category: Image Analysis
- Category: Artificial Neural Networks
- Category: Applied Machine Learning
- Category: Machine Learning Methods
- Category: Regression Analysis
- Category: Network Architecture
- Category: Model Training
- Category: Computer Vision
