Term of the Moment
computercruiter
Definition: convolutional neural network
A widely used AI neural network that recognizes grid patterns. Using image recognition as the primary 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
There Are Many Kinds of CNNs
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.
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.)