rands

Symmetric random weight/bias initialization function

Syntax

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

rands is a weight/bias initialization function.

W = rands(S,PR) takes

`S`	Number of neurons
`PR`	`R`-by-`2` matrix of `R` input ranges

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

M = rands(S,R) returns an S-by-R matrix of random values. v = 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.