What is batch normalization? What is dropout?
How would you define batch normalization and dropout within the context of machine learning?
What does batch normalization aim to achieve, and how does dropout function in model training?
Could you describe the purposes of batch normalization and dropout in deep learning models?
What are the roles of batch normalization and dropout in training deep neural networks?
How do batch normalization and dropout contribute to neural network optimization?
What are batch normalization and dropout, and why are they important in neural networks?
What is the significance of batch normalization and dropout in the machine learning domain?
Can you elucidate what batch normalization is and the concept of dropout in neural networks?