What term describes the arrangement where each node processes inputs to produce outputs?

• A. Structure of a neural network
• B. Hidden layers
• C. Activation functions
• D. Weights

Answer: (A)

Think about how a neural network handles data. The arrangement of nodes and how they are connected—from inputs through any hidden layers to the outputs—defines the structure of the neural network. This structure describes how information flows and how the network processes inputs to produce results, essentially outlining the architecture that determines what transformations are possible. The other terms refer to components within that structure: hidden layers are the internal groups of neurons that transform representations, activation functions are the nonlinearities applied at each node to enable learning complex patterns, and weights are the adjustable connection strengths learned during training.