How can I optimize my AI model for better performance?
To optimize your AI model, consider techniques like hyperparameter tuning, feature selection, and model pruning.
What is hyperparameter tuning and how do I do it?
Hyperparameter tuning involves adjusting the parameters that govern the training process. You can use methods like grid search or random search.
Can you explain model pruning?
Model pruning reduces the size of your model by removing weights that contribute little to the output, improving efficiency.
Are there tools available for these optimizations?
Yes, tools like TensorFlow, Keras, and Scikit-learn offer built-in functions for hyperparameter tuning and model pruning.
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