Basic functionality that most of the neural layers require. The basic layer is often used by itself to implement forward or recurrent layers. Other layer types are based on the basic layer as well. The layer will either have thresholds are not. Thresholds are values that correspond to each of the neurons. The threshold values will be added to the output calculated for each neuron. Together with the weight matrix the threshold values make up the memory of the neural network. When the neural network is trained, these threshold values (along with the weight matrix values) will be modified.

For a list of all members of this type, see BasicLayer Members .

System.Object
   BasicLayer
      ContextLayer
      RadialBasisFunctionLayer

Thread Safety

Public static (Shared in Visual Basic) members of this type are safe for multithreaded operations. Instance members are not guaranteed to be thread-safe.

Requirements

Namespace: Encog.Neural.Networks.Layers

Assembly: encog-core-cs (in encog-core-cs.dll)

See Also

BasicLayer Members | Encog.Neural.Networks.Layers Namespace