Deep learning is an artificial intelligence (AI) function that imitates the workings of the human brain in processing data and creating patterns for use in decision making. Deep learning is a subset of machine learning in artificial intelligence that has networks capable of learning unsupervised from data that is unstructured or unlabeled. Deep learning, a form of machine learning, can be used to help detect fraud or money laundering, among other functions.
Deep learning, a subset of machine learning, utilizes a hierarchical level of artificial neural networks to carry out the process of machine learning. The artificial neural networks are built like the human brain, with neuron nodes connected together like a web. While traditional programs build analysis with data in a linear way, the hierarchical function of deep learning systems enables machines to process data with a nonlinear approach.
When deep learning is used to detect fraud, it will leverage several signals, such as IP address, credit score, retailer, or sender, to name a few. In the first layer of its artificial neural network, it will analyze the amount sent. In a second layer, it will build on this information and include the IP address, for example. In the third layer, the credit score will be added to the existing information, and so forth until a final decision is made.