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: Artificial Neural Networks
- Category: Model Training
- Category: Model Evaluation
- Category: Classification Algorithms
- Category: Image Analysis
- Category: Computer Vision
- Category: Deep Learning
- Category: Convolutional Neural Networks
- Category: Predictive Modeling
- Category: Transfer Learning
- Category: Applied Machine Learning
- Category: Matlab
