CopyCat Masterclass: Maximize Nuke’s Machine Learning Tool
Instructors
Johanna BarbierMairead Grogan
레벨
Experienced
길이
37m 54s
Version Required
Nuke 13.0 and later
Welcome to the CopyCat Masterclass!
Learn how to leverage machine learning in compositing to achieve faster results. Find out how to choose the right inputs, training settings, and overcome common training hurdles. Gain insight on how to accelerate training, enhance results, and let CopyCat's machine learning capabilities do the heavy lifting.
Join senior research engineers, Mairead and Johanna, as they guide you through the fundamentals of CopyCat's training process and its use in diverse tasks.
Interested in trying out Nuke? Head over to the Nuke product page for a 30 day free trial!
Alternatively, get the CopyCat Masterclass sessions direct to your inbox. Sign up
Learn how to leverage machine learning in compositing to achieve faster results. Find out how to choose the right inputs, training settings, and overcome common training hurdles. Gain insight on how to accelerate training, enhance results, and let CopyCat's machine learning capabilities do the heavy lifting.
Join senior research engineers, Mairead and Johanna, as they guide you through the fundamentals of CopyCat's training process and its use in diverse tasks.
Interested in trying out Nuke? Head over to the Nuke product page for a 30 day free trial!
Alternatively, get the CopyCat Masterclass sessions direct to your inbox. Sign up
- 1. Introduction: The Magic Behind CopyCat5m 23s
- 2. Improve Results With Better Frame Selection2m 49s
- 3. Speed Up CopyCat With Cropping2m 50s
- 4. Data Augmentation: Maximize CopyCat’s Learning2m 16s
- 5. How Big Should Your Training Dataset Be?2m 13s
- 6. Avoid Common Mistakes When Training CopyCat3m 1s
- 7. Model Size: Balance Speed and Complexity2m 17s
- 8. Save Time with Pre-Trained Weights3m 59s
- 9. Epochs: Configure Training Iterations1m 50s
- 10. Crop Size: Balancing Context and Efficiency2m 49s
- 11. Batch Size: Optimizing Dataset Size1m 40s
- 12. Monitor Training and General Troubleshooting4m 16s
- 13. Refine Your Model for Better Results2m 31s