Faculty of Art

Drawing and Painting

Fiona Enright

Long Short-Term Memory; Gate

"Generally used to mean artificial neural network (ANN). An ANN is a network of many very simple processors (units or neurons), each possibly having a (small amount of) local memory. The neurons are connected by unidirectional communication channels (connections), which carry numeric (as opposed to symbolic) data. The neurons operate only on their local data and on the inputs they receive via their connections.A neural network is a processing device (either an algorithm or actual hardware) whose design was modeled after the design and functioning of animal brains and nerves and components thereof. Most neural networks have some sort of training rule whereby the weights of connections are adjusted on the basis of presented patterns. In other words, neural networks learn from examples, just as animals learn from example stimuli. ANNs differ from Von Neumann architectures in that:• They are composed of large numbers of neurons, which are often very elementary nonlinear signal processors. (In the extreme case, they are simple threshold discriminators.)• There is a high degree of interneuron interconnection, which allows a high degree of parallelism.• There is no idle memory containing data and programs, but rather each neuron is preprogrammed and continuously active."neural network (NN). (2001). In F. Hargrave, Hargrave's Communications Dictionary, Wiley. Wiley. Credo Reference: http://ocadu.idm.oclc.org/login?url=https://search.credoreference.com/content/entry/hargravecomms/neural_network_nn/0?institutionId=4079