What are AI parameters and how do they work?

What are AI parameters and how do they work?

AI parameters are variables that the model uses to make predictions. They are adjusted during training to improve accuracy.

Can you give me an example of parameters in a neural network?

Sure! In a neural network, parameters include weights and biases that determine how input data is transformed into output.

How do these parameters affect the model's performance?

The values of the parameters directly influence the model's ability to learn patterns. Well-tuned parameters lead to better performance.

What happens if the parameters are not set correctly?

If parameters are not set correctly, the model may underfit or overfit the data, leading to poor predictions.

How can I optimize these parameters?

You can optimize parameters using techniques like grid search, random search, or more advanced methods like Bayesian optimization.