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Nguyen-Widrow and other Neural Network Weight/Threshold Initialization Methods

7 years 27 days ago
Nguyen-Widrow and other Neural Network Weight/Threshold Initialization Methods
Neural networks learn by adjusting numeric values called weights and thresholds. A weight specifies how strong of a connection exists between two neurons. A threshold is a value, stored on each neuron that either adds or subtracts from the incoming weights from other neurons. Training is the process by which these weights and thresholds are adjusted to cause the neural network to produce useful results.
Jeff Heaton
Added 03 May 2010
Updated 03 May 2010
Authors Jeff Heaton
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