BackPropResult {Microsoft.VisualBasic.MachineLearning.CNN.data}

.NET clr documentation

BackPropResult

Description

When we have done a back propagation of the network we will receive a result of weight adjustments required to learn. This result set will contain the data used by the trainer. @author Daniel Persson (mailto.woden@gmail.com)

Declare

            
# namespace Microsoft.VisualBasic.MachineLearning.CNN.data
export class BackPropResult {
   Gradients: double;
   L1DecayMul: double;
   L2DecayMul: double;
   Weights: double;
}

        

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