rands (Neural Network Toolbox)

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.

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.

Examples

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:

1.: Set net.initFcn to 'initlay'. (net.initParam will automatically become initlay's default parameters.)

3.: 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.