revert
Change network weights and biases to previous initialization values
Syntax
net = revert (net)
Description
net = revert (net)
returns neural network net
with
weight and bias values restored to the values generated the last time the network was
initialized.
If the network is altered so that it has different weight and bias connections or different
input or layer sizes, then revert
cannot set the weights and biases to their
previous values and they are set to zeros instead.
Examples
Here a perceptron is created with input size set to 2 and number of neurons to 1.
net = perceptron; net.inputs{1}.size = 2; net.layers{1}.size = 1;
The initial network has weights and biases with zero values.
net.iw{1,1}, net.b{1}
Change these values as follows:
net.iw{1,1} = [1 2]; net.b{1} = 5; net.iw{1,1}, net.b{1}
You can recover the network’s initial values as follows:
net = revert(net); net.iw{1,1}, net.b{1}
Version History
Introduced before R2006a