Neural Network Toolbox

maxlinlr

Maximum learning rate for a linear layer

Syntax

• lr = maxlinlr(P)
  lr = maxlinlr(P,'bias')
  

Description

maxlinlr is used to calculate learning rates for newlin.

maxlinlr(P) takes one argument,

• P -- R x Q matrix of input vectors

and returns the maximum learning rate for a linear layer without a bias that is to be trained only on the vectors in P.

maxlinlr(P,'bias') returns the maximum learning rate for a linear layer with a bias.

Examples

Here we define a batch of four two-element input vectors and find the maximum learning rate for a linear layer with a bias.

• P = [1 2 -4 7; 0.1 3 10 6];
  lr = maxlinlr(P,'bias')
  

See Also

• linnet, newlin, newlind
  

mandist

midpoint

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