In neural networks, the pathways between independent variables and dependent variables are called

• A. Neurons
• B. Weights
• C. Layers
• D. Activation functions

Answer: (A)

In a neural network, signals move from inputs toward the output through the connections that link neurons across layers. The key thing about those connections is their strength, which is captured by weights. Each weight scales how much influence a given input has as it passes to the next neuron, shaping the signal that gets processed. Neurons are the actual processing units, layers are groups of those units, and activation functions are the nonlinearity applied to a neuron's input. So the pathways that carry information from input features toward the output are defined by the weighted connections.