nnt2lin (Neural Network Toolbox)

Update NNT 2.0 linear layer to NNT 3.0

net = nnt2lin(pr,w,b,lr)

nnt2lin(PR,W,B) takes these arguments,

PR - R x 2 matrix of min and max values for R input elements.

W - S x R weight matrix.

B - S x 1 bias vector

LR - Learning rate, default = 0.01;

and returns a linear layer.

Once a network has been updated it can be simulated, initialized, adapted, or trained with sim, init, adapt, and train.