Asynchronous neural network training

A neural network training apparatus is described which has a network of worker nodes each having a memory storing a subgraph of a neural network to be trained. The apparatus has a control node connected to the network of worker nodes. The control node is configured to send training data instances in...

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Bibliographische Detailangaben
Hauptverfasser: Tomioka, Ryota, Riechert, Maik, Gaunt, Alexander Lloyd, Tarlow, Daniel Stefan, Johnson, Matthew Alastair, Vytiniotis, Dimitrios, Webster, Samuel Alexander
Format: Patent
Sprache:eng
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Zusammenfassung:A neural network training apparatus is described which has a network of worker nodes each having a memory storing a subgraph of a neural network to be trained. The apparatus has a control node connected to the network of worker nodes. The control node is configured to send training data instances into the network to trigger parallelized message passing operations which implement a training algorithm which trains the neural network. At least some of the message passing operations asynchronously update parameters of individual subgraphs of the neural network at the individual worker nodes.