Quantcast

Documentation Center

  • Trial Software
  • Product Updates

Contents

rands

Symmetric random weight/bias initialization function

Syntax

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.

See Also

| | | | |

Was this topic helpful?