CopyCat Masterclass: Maximize Nuke’s Machine Learning Tool

12. Monitor Training and General Troubleshooting

  1. 1. Introduction: The Magic Behind CopyCat

    5m 23s

  2. 2. Improve Results With Better Frame Selection

    2m 49s

  3. 3. Speed Up CopyCat With Cropping

    2m 50s

  4. 4. Data Augmentation: Maximize CopyCat’s Learning

    2m 16s

  5. 5. How Big Should Your Training Dataset Be?

    2m 13s

  6. 6. Avoid Common Mistakes When Training CopyCat

    3m 1s

  7. 7. Model Size: Balance Speed and Complexity

    2m 17s

  8. 8. Save Time with Pre-Trained Weights

    3m 59s

  9. 9. Epochs: Configure Training Iterations

    1m 50s

  10. 10. Crop Size: Balancing Context and Efficiency

    2m 49s

  11. 11. Batch Size: Optimizing Dataset Size

    1m 40s

  12. 12. Monitor Training and General Troubleshooting

    4m 16s

  13. 13. Refine Your Model for Better Results

    2m 31s