A widely used neural network in an AI system that recognizes patterns. Using image recognition as the example, a convolutional neural network (CNN) breaks the input into pixels and connects them to a series of neuron layers. The output layer is the best interpretation of the input. See
neural network,
machine learning and
AI.
Character Recognition
This simplistic example shows how the letter "Z" is recognized by assigning each pixel in the matrix a number from 0 to 1 based on the intensity of its shade or color. All 784 pixels of the 28x28 matrix become the input layer, and each layer is mathematically connected to the next layer. The output is the weighted average of the pixels. See
AI weights and biases.
There Are Many Kinds of CNNs
Neural networks can be complex. These are examples of convolutional architectures from the Asimov Institute. (Images courtesy of Fjodor van Veen and Stefan Leijnen (2019). The Neural Network Zoo.)