1. Introduction: The Magic Behind CopyCat
5m 23s2. Improve Results With Better Frame Selection
2m 49s3. Speed Up CopyCat With Cropping
2m 50s4. Data Augmentation: Maximize CopyCat’s Learning
2m 16s5. How Big Should Your Training Dataset Be?
2m 13s6. Avoid Common Mistakes When Training CopyCat
3m 1s7. Model Size: Balance Speed and Complexity
2m 17s8. Save Time with Pre-Trained Weights
3m 59s9. Epochs: Configure Training Iterations
1m 50s10. Crop Size: Balancing Context and Efficiency
2m 49s11. Batch Size: Optimizing Dataset Size
1m 40s12. Monitor Training and General Troubleshooting
4m 16s13. Refine Your Model for Better Results
2m 31s