How to Tune Hyperparameters for Better Model Performance | Ultralytics YOLO11 Hyperparameters 🚀
Автор: Ultralytics
Загружено: 2024-12-13
Просмотров: 5537
In this tutorial, we dive into the fundamentals of hyperparameter tuning, exploring key concepts, configurations, and best practices. You'll gain a solid understanding of essential hyperparameters, including learning rate, batch size, epochs, and model-specific parameters. Watch as we guide you through the preparation process and share actionable tips for successful tuning.
Key Highlights:
00:00 - Introduction: What is Hyperparameter Tuning?
00:31 - What are Hyperparameters? A brief overview.
01:00 - Learning Rate: Understanding its role in model optimization.
01:21 - Batch Size: How it impacts training efficiency.
02:37 - Epochs: Setting the right number for optimal training.
03:09 - Model-Specific Hyperparameters: Image channels, number of layers, and activation functions.
04:37 - Preparation for Hyperparameter Tuning: Essential steps to get started.
05:36 - Conclusion and Summary: Key takeaways and practical insights.
Explore more ➡️ https://docs.ultralytics.com/guides/h...
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