5:23
CopyCat Masterclass | 1. Introduction: The Magic Behind CopyCat
Foundry
2:49
CopyCat Masterclass | 2. Improve Results With Better Frame Selection
2:50
CopyCat Masterclass | 3. Speed Up CopyCat With Cropping
2:16
CopyCat Masterclass | 4. Data Augmentation: Maximize CopyCat’s Learning
2:13
CopyCat Masterclass | 5. How Big Should Your Training Dataset Be?
3:01
CopyCat Masterclass | 6. Avoid Common Mistakes When Training CopyCat
2:17
CopyCat Masterclass | 7. Model Size: Balance Speed and Complexity
3:59
CopyCat Masterclass | 8. Save Time with Pre-Trained Weights
1:50
CopyCat Masterclass | 9. Epochs: Configure Training Iterations
CopyCat Masterclass | 10. Crop Size: Balancing Context and Efficiency
1:41
CopyCat Masterclass | 11. Batch Size: Optimizing Dataset Size
4:16
CopyCat Masterclass | 12. Monitor Training and General Troubleshooting
2:31
CopyCat Masterclass | 13. Refine Your Model for Better Results
57:31
Machine Learning Q&A with Foundry’s Research team
