What are the small processing components in a neural network called?

What are the small processing components in a neural network called?

• A. Layers
• B. Neurons
• C. Activations
• D. Nodes

Answer: (B)

Neurons are the small processing components. Each neuron takes inputs from the previous layer, multiplies them by learned weights, adds a bias, and passes the result through an activation function to produce an output. This output then feeds into neurons in the next layer. Layers are just groups of these processing units, activations refer to the resulting output values after the activation function, and while some sources use the term nodes interchangeably, the standard term for the processing unit is neuron.

Neurons are the small processing components. Each neuron takes inputs from the previous layer, multiplies them by learned weights, adds a bias, and passes the result through an activation function to produce an output. This output then feeds into neurons in the next layer. Layers are just groups of these processing units, activations refer to the resulting output values after the activation function, and while some sources use the term nodes interchangeably, the standard term for the processing unit is neuron.