What are some effective AI optimization strategies?

What are some effective AI optimization strategies?

There are several strategies to optimize AI models, including hyperparameter tuning, model pruning, and using transfer learning.

Can you explain hyperparameter tuning?

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

What is model pruning?

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

How does transfer learning work?

Transfer learning leverages a pre-trained model on a similar task and fine-tunes it on a new dataset, saving time and resources.