What are the differences between symbolic and neural networks?

What are the differences between symbolic and neural networks?

Symbolic networks use explicit rules and logic, while neural networks learn from data through patterns.

Can you give me an example of each?

Sure! An example of a symbolic network is a rule-based expert system, while a neural network example is image recognition.

Which one is better for natural language processing?

Neural networks, especially deep learning models, are generally more effective for natural language processing tasks.

Are there any situations where symbolic networks are preferred?

Yes, symbolic networks are preferred in scenarios requiring clear reasoning and explainability, like legal or medical applications.