Which term is used for the basic computational unit in a neural network that processes inputs and emits an output?

Which term is used for the basic computational unit in a neural network that processes inputs and emits an output?

• A. Neuron
• B. Layer
• C. Activation function
• D. Weight

Answer: (A)

The neuron is the basic computational unit that processes inputs, combines them using weights (and a bias), and produces an output by applying an activation function. This unit is the building block of networks, and many neurons arranged in layers form the full architecture. A layer is a collection of neurons, the activation function is the non-linear function that shapes each neuron's output, and a weight is a parameter that scales an input connection. So the term that correctly describes the described unit is neuron.

The neuron is the basic computational unit that processes inputs, combines them using weights (and a bias), and produces an output by applying an activation function. This unit is the building block of networks, and many neurons arranged in layers form the full architecture. A layer is a collection of neurons, the activation function is the non-linear function that shapes each neuron's output, and a weight is a parameter that scales an input connection. So the term that correctly describes the described unit is neuron.