Introduction to Deep Learning for Computer Vision
Completed by Jannis Wolff
February 20, 2026
8 hours (approximately)
Jannis Wolff's account is verified. Coursera certifies their successful completion of Introduction to Deep Learning for Computer Vision
What you will learn
Develop a strong foundation in deep learning for image analysis
Retrain common models like GoogLeNet and ResNet for specific applications
Investigate model behavior to identify errors, determine potential fixes, and improve model performance
Complete a real-world project to practice the entire deep learning workflow
Skills you will gain
- Category: Applied Machine Learning
- Category: Performance Tuning
- Category: Fine-tuning
- Category: Artificial Neural Networks
- Category: Transfer Learning
- Category: Matlab
- Category: Image Analysis
- Category: Model Training
- Category: Deep Learning
- Category: Model Evaluation
- Category: Classification Algorithms
- Category: Convolutional Neural Networks
