rands :: Functions (Neural Network Toolbox™)

rands

Purpose

Symmetric random weight/bias initialization function

W = rands(S,PR)
M = rands(S,R)
v = rands(S);

rands is a weight/bias initialization function.

rands(S,PR) takes

S
Number of neurons

PR
R x 2 matrix of R input ranges

`S`	Number of neurons
`PR`	`R` x `2` matrix of `R` input ranges

and returns an S-by-R weight matrix of random values between -1 and 1.

rands(S,R) returns an S-by-R matrix of random values. rands(S) returns an S-by-1 vector of random values.

Here three sets of random values are generated with rands.

rands(4,[0 1; -2 2])
rands(4)
rands(2,3)

To prepare the weights and the bias of layer i of a custom network to be initialized with rands,

Set net.initFcn to 'initlay'. (net.initParam automatically becomes initlay's default parameters.)
Set net.layers{i}.initFcn to 'initwb'.
Set each net.inputWeights{i,j}.initFcn to 'rands'. Set each net.layerWeights{i,j}.initFcn to 'rands'. Set each net.biases{i}.initFcn to 'rands'.

To initialize the network, call init.