- Applied Machine Learning
- Image Analysis
- Transfer Learning
- Matlab
- Model Evaluation
- Artificial Neural Networks
- Convolutional Neural Networks
- Performance Tuning
- Classification Algorithms
- Deep Learning
- Computer Vision
Introduction to Deep Learning for Computer Vision
Completed by Marcela Rivera
February 21, 2024
8 hours (approximately)
Marcela Rivera'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
