What are some effective model optimization techniques?

What are some effective model optimization techniques?

There are several techniques for optimizing models, including hyperparameter tuning, pruning, quantization, and using ensemble methods.

Can you explain hyperparameter tuning?

Hyperparameter tuning involves adjusting the parameters that govern the training process, such as learning rate and batch size, to improve model performance.

What is model pruning?

Model pruning is the process of removing unnecessary weights from a model to reduce its size and improve inference speed without significantly affecting accuracy.

How does quantization work?

Quantization reduces the precision of the numbers used in the model, which can lead to faster computations and lower memory usage.

What are ensemble methods?

Ensemble methods combine multiple models to improve overall performance, often leading to better accuracy than individual models.