By default, the computation in a INDArrayLayer will re-evaluate again and again
if the INDArrayLayer is used by multiple other operations.
This behavior is very inefficient if there is are diamond dependencies in a neural network.
It's wise to use CumulativeINDArrayLayers instead of this INDArrayLayers in such neural network.
A plugin that provides differentiable operators on neural networks whose Data and Delta is org.nd4j.linalg.api.ndarray.INDArray.
Author:
杨博 (Yang Bo)
By default, the computation in a INDArrayLayer will re-evaluate again and again if the
INDArrayLayer
is used by multiple other operations. This behavior is very inefficient if there is are diamond dependencies in a neural network. It's wise to use CumulativeINDArrayLayers instead of thisINDArrayLayers
in such neural network.