Hyperparameter Tuning – Take Control of AI Training Like a Pro | Geti™ | Intel Software

Опубликовано 10 ноября 2025, 8:32

⚙️ Want more control over AI training?
Geti™ makes training simple for non-experts—while giving advanced users the ability to fine-tune hyperparameters for better results.

•Key concepts: epochs, loss function, learning rate
•Why hyperparameters matter for speed, accuracy, and convergence
•How Geti™ lets you adjust data splits, tiling, and training settings
•Practical tips for customizing learning rate, patience, and image size
•When to stick with defaults vs. experiment for optimal performance

If you’ve ever wanted to go beyond “click and train,” this episode shows you how to take control—without needing a PhD in AI.

Geti™get started:
docs.geti.intel.com

Geti™ on Github:
github.com/open-edge-platform/...

Find the full series here:
youtube.com/playlist?list=PLg-...

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Hyperparameter Tuning – Take Control of AI Training Like a Pro | Geti™ | Intel Software