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rands

Symmetric random weight/bias initialization function

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

Description

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.

Examples

Here, three sets of random values are generated with rands.

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

Network Use

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 automatically becomes initlay's default parameters.)

2. Set net.layers{i}.initFcn to 'initwb'.

3. Set each net.inputWeights{i,j}.initFcn to 'rands'.

4. Set each net.layerWeights{i,j}.initFcn to 'rands'.

5. Set each net.biases{i}.initFcn to 'rands'.

To initialize the network, call init.