org.ea.javacnn.losslayers
Class RegressionLayer
- java.lang.Object
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- org.ea.javacnn.losslayers.LossLayer
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- org.ea.javacnn.losslayers.RegressionLayer
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- All Implemented Interfaces:
- java.io.Serializable, Layer
public class RegressionLayer extends LossLayer
Regression layer is used when your output is an area of data. When you don't have a single class that is the correct activation but you try to find a result set near to your training area.- See Also:
- Serialized Form
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Constructor Summary
Constructors Constructor and Description RegressionLayer(OutputDefinition def)
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method and Description doublebackward(double[] y)doublebackward(int y)DataBlockforward(DataBlock db, boolean training)-
Methods inherited from class org.ea.javacnn.losslayers.LossLayer
backward, getBackPropagationResult, getOutAct
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Constructor Detail
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RegressionLayer
public RegressionLayer(OutputDefinition def)
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