maxlinlr

(To be removed) Maximum learning rate for linear layer

maxlinlr will be removed in a future release. For more information, see Transition Legacy Neural Network Code to dlnetwork Workflows.

For advice on updating your code, see Version History.

Syntax

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

Description

maxlinlr is used to calculate learning rates for linearlayer.

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')

Version History

Introduced before R2006a

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See Also

| (Statistics and Machine Learning Toolbox) | (Statistics and Machine Learning Toolbox) | | |

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