Introduction to Deep Learning for Computer Vision
Completed by Angelo Yeo
March 19, 2024
8 hours (approximately)
Angelo Yeo'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: Convolutional Neural Networks
- Category: Artificial Neural Networks
- Category: Computer Vision
- Category: Classification Algorithms
- Category: Image Analysis
- Category: Model Training
- Category: Applied Machine Learning
- Category: Matlab
- Category: Predictive Modeling
- Category: Model Evaluation
- Category: Deep Learning
- Category: Transfer Learning
