14. The method of claim 13 , wherein the VCDNN is a variable parameter deep neural network (VPDNN), a variable output deep neural network (VODNN), or a variable activation deep neural network (VADNN).
14. The method of claim 13 , wherein the VCDNN is a variable parameter deep neural network (VPDNN), a variable output deep neural network (VODNN), or a variable activation deep neural network (VADNN). 17. The method of claim 14 , wherein the VCDNN is a VADNN and each of the plurality of components is an activation function in the VADNN.