Your question is Neural Network Architectures and Uses. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
You're discussing model choices for a supervised learning problem and want to explain when different neural network architectures make sense.
What are the different types of neural network architectures and their applications?