What are the key parameters that affect AI performance?

What are the key parameters that affect AI performance?

Key parameters include learning rate, batch size, and model architecture. Each plays a crucial role in training.

How does the learning rate impact the training process?

The learning rate determines how much to adjust the model weights during training. A high rate can lead to overshooting.

What happens if the batch size is too small?

A small batch size can lead to noisy gradient estimates, which may slow down convergence and affect model stability.

Can you explain model architecture and its importance?

Model architecture defines the structure of the neural network, influencing its capacity to learn complex patterns.