A series of algorithms that tries to recognize underlying relationships in a set of data through a process that mimics the way the human brain operates.
Neural Networks, loosely inspired by biological neurons, are the basis of deep learning. They consist of layers of interconnected 'neurons' (mathematical functions) that pass signals to one another. During training, the weights of these connections are adjusted so the network learns complex patterns in the data.
See also Deep Learning, Private AI, Digital Transformation and Enterprise Architecture.