What are parameters in AI models?

What are parameters in AI models?

Parameters in AI models are the internal variables that the model learns from the training data to make predictions.

How do these parameters affect the model's performance?

The parameters directly influence the model's ability to fit the training data and generalize to new data, impacting accuracy.

Can you give an example of how parameters are used in a neural network?

In a neural network, parameters include weights and biases that adjust during training to minimize the error in predictions.

What happens if a model has too many parameters?

Having too many parameters can lead to overfitting, where the model learns noise in the training data instead of the underlying pattern.