What are hyperparameters in deep learning?

What are hyperparameters in deep learning?

Hyperparameters are settings that you configure before training a model, like learning rate and batch size.

How do I choose the right hyperparameters?

Choosing hyperparameters often involves experimentation, using techniques like grid search or random search.

What is the impact of learning rate on model performance?

The learning rate controls how much to change the model in response to the estimated error each time the model weights are updated.

Can you explain what batch size means?

Batch size is the number of training examples utilized in one iteration. Smaller batches can lead to more noisy updates.