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17 lines
389 B
Plaintext
17 lines
389 B
Plaintext
# Model Training
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## Model Selection and Development
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- Overview of ML Models
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- Criteria for Model Selection
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- Model Development Considerations in Embedded Systems
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- Scalability and Resource Optimization
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## Hyperparameter Tuning
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- Understanding Hyperparameters
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- Techniques for Hyperparameter Tuning
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- Tuning for Embedded Systems
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- Grid Search and Randomized Search Methods
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