Introduction to Deep Learning for Computer Vision
Completed by Juan Pablo Rodriguez Gomez
November 24, 2024
8 hours (approximately)
Juan Pablo Rodriguez Gomez'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: Deep Learning
- Category: Applied Machine Learning
- Category: Matlab
- Category: Convolutional Neural Networks
- Category: Artificial Neural Networks
- Category: Performance Tuning
- Category: Model Training
- Category: Image Analysis
- Category: Computer Vision
- Category: Classification Algorithms
- Category: Transfer Learning
- Category: Model Evaluation
