Network Structure

The basic building block of neural network technology is the simulated neuron (depicted in Figure 1 as a circle). Independent neurons are of little use, however, unless they are interconnected in a network of neurons. The network processes a number of inputs from the outside world to produce an output, the network’s predictions. The neurons are connected by weights, (depicted as lines).

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Figure 1.

Neurons are grouped into layers by their connection to the outside world. For example, if a neuron receives data from outside of the network, it is considered to be in the input layer. If a neuron contains the network’s predictions, it is in the output layer. Neurons in between the input and output layers are in the hidden layer, which serves as a feature detector.

 
Topic of Interest:
What are Neural Networks?
 

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