maxlinlr

Purpose

Maximum learning rate for 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 you 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

learnwh

Provide feedback about this page

mapstd

midpoint

© 1984-2009- The MathWorks, Inc.    -   Site Help   -   Patents   -   Trademarks   -   Privacy Policy   -   Preventing Piracy   -   RSS