IsmailMarmoush/JANN — Issue #14: Performance impact due to concatenation of outputs of the Predecessor Layers as inputs
Author: IsmailMarmoush
Created: 2011-11-26 16:46:58+00:00
State: open
Labels: Issue

There are two options
1- Concatenate all the predecessor layers
outputs as inputs for a
specific layer then normally do the learning,
weight algorithms
2- not to concatenate and even ignore the Input
variable and directly use the outputs for the matrices, but this will
result in a more mess, it will mean that for each algorithm which uses
the inputs we'll have to do specific algorithm implementation and
that's very much wrong

So the decision was to concatenate inputs and
sacrifice the "near performance enhancement" for the "future
performance enhancement"