Introduction to Deep Learning for Computer Vision
Completed by Martina Grandi
October 11, 2024
8 hours (approximately)
Martina Grandi'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: Fine-tuning
- Category: Classification Algorithms
- Category: Computer Vision
- Category: Image Analysis
- Category: Artificial Neural Networks
- Category: Model Training
- Category: Predictive Modeling
- Category: Deep Learning
- Category: Applied Machine Learning
- Category: Matlab
- Category: Convolutional Neural Networks
- Category: Model Evaluation
