METHOD AND COMPUTER SYSTEM FOR TRAINING A NEURAL NETWORK MODEL

METHOD AND COMPUTER SYSTEM FOR TRAINING A NEURAL NETWORK MODEL

A method trains a neural network model in a computer system. The neural network model includes one or more layers each including one or more neurons. The one or more layers include at least one first layer and one last layer. Each neurons are configured to perform forward propagation of one or more...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Xiao, Shihai, Jiang, Lei
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Beschreibung
Zusammenfassung:A method trains a neural network model in a computer system. The neural network model includes one or more layers each including one or more neurons. The one or more layers include at least one first layer and one last layer. Each neurons are configured to perform forward propagation of one or more input values by applying weights to the one or more input values and generating an output value based on a function applied to the sum of the weighted input values. The neurons of any given layer, but the last layer, of the one or more layers are connected with the one or more neurons of a consecutive layer. The neurons of any given layer, but the first layer, of the one or more layers are connected with the one or more neurons of a preceding layer.