What are advanced propagation techniques in machine learning?

What are advanced propagation techniques in machine learning?

Advanced propagation techniques refer to methods used to optimize the flow of information in neural networks, enhancing learning efficiency.

Can you give me some examples of these techniques?

Sure! Examples include backpropagation with momentum, adaptive learning rates, and layer normalization.

How do these techniques improve model performance?

They help in faster convergence, reduce overfitting, and allow for better generalization of the model.

Are there any specific algorithms that utilize these techniques?

Yes, algorithms like Adam, RMSprop, and Nesterov accelerated gradient utilize advanced propagation techniques for optimization.