matlab-神经网络-学习速率

maxlinlr

Maximum learning rate for linear layer

Syntax

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

Description

maxlinlr is used to calculate learning rates for newlin.

lr = maxlinlr(P) takes one argument,

P	R-by-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.

lr = 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')