functional layer
Computes the delta for back propagation.
Computes the delta for back propagation. Delta is allocated based on the size provided by the LayerModel implementation and the stack (batch) size. Developer is responsible for checking the size of prevDelta when writing to it.
delta of this layer
Evaluates the data (process the data through the layer).
Evaluates the data (process the data through the layer). Output is allocated based on the size provided by the LayerModel implementation and the stack (batch) size. Developer is responsible for checking the size of output when writing to it.
data
output (modified in place)
Computes the gradient.
Computes the gradient. cumGrad is a wrapper on the part of the weight vector. Size of cumGrad is based on weightSize provided by implementation of LayerModel.
delta for this layer
input data
cumulative gradient (modified in place)
functional layer
Functional layer model. Holds no weights.