The similarities and differences between neural networks and learning systems, as well as application examples for each technology

What are the fundamental principles and techniques used in the field of machine learning for training and optimizing neural networks, and how do they contribute to the model's ability to generalize and make accurate predictions on unseen data?

The parallels and contrasts between learning systems and neural networks, as well as some real-world applications for each technology

Provide an overview of how recurrent and non-recurrent neural network processing differ.