What does nn mean?

Nn stands for artificial neural network.

Neural network is a research hotspot in the field of artificial intelligence since 1980s. It abstracts the neural network of human brain from the angle of information processing, establishes a simple model, and forms different networks according to different connection methods. In engineering and academic circles, it is usually called neural network or directly called neural network.

Each node represents a specific output function, called an activation function. The connection between every two nodes represents the weighted value of the signal passing through the connection, which is called weight, which is equivalent to the memory of artificial neural network. The output of the network varies according to the connection mode, weight and excitation function of the network.

basic feature

In artificial neural networks, neuron processing units can represent different objects, such as features, letters, concepts or some meaningful abstract patterns. There are three types of processing units in the network: input unit, output unit and hidden unit. The connection weight between neurons reflects the connection strength between cells, and the representation and processing of information are reflected in the connection relationship of network processing units.

Artificial neural network is a non-programmed, adaptive and brain-based information processing. Its essence is to obtain a parallel and distributed information processing function through network transformation and dynamic behavior, which imitates the information processing function of human brain nervous system in different degrees and levels.

The above contents refer to Baidu Encyclopedia-Artificial Neural Network.