MATLAB: Maximizing the memory available to MATLAB for windows 7

Deep Learning Toolboxmaximizingmemory

I am using Neural Network Toolbox™ Software Version 6.0.1 (R2008b) to train a data sets. I have a memory error when I train a data with high number of inputs. The error is shown like this:

??? Insufficient number of outputs from right hand side of equal sign to satisfy assignment.

Error in ==> nntool at 681
      [errmsg,errid] = me.message;

My laptop has 4GB RAM, 32-bit operating system, windows 7.

Can any body help me in finding a way to Maximizing the memory available to MATLAB ?

Thanks in advance for your help.

Bashar

Best Answer

You can follow the link to "Avoiding 'Out of Memory' Errors" in Tech Solution# 1-BBJCDC.

Specific instructions for Windows 7 are in Tech Solution #1-4M4ZNT.

Related Solutions

MATLAB: Do I receive an “Insufficient number of outputs” error when training a network created using NNTOOL from the Neural Network Toolbox 6.0.3 (R2009b)

This enhancement has been incorporated in Release 2010b (R2010b). For previous product releases, read below for possible workarounds:

The error message

Error in ==> nntool at 681

[errmsg,errid] = me.message;

is due to an out of memory error that occurs earlier during the call to TRAIN in a TRY CATCH block. The ability to show the standard out of memory error message is not available in NNTOOL in Neural Network Toolbox 6.0.3 (R2009b).

As a workaround, reduce the huge number of inputs, since they are generating huge internal temporary matrices when calculating the training steps.

To learn more about general strategies to avoid memory errors, you may refer to the following documentation pages:

https://www.mathworks.com/help/releases/R2009b/techdoc/matlab_prog/brh72ex-49.html

https://www.mathworks.com/help/releases/R2009b/techdoc/matlab_prog/brh72ex-25.html

MATLAB: Am I getting inconsistent reports between FEATURE MEMSTATS and MEMORY in MATLAB 7.6 (R2008a)

The use of FEATURE MEMSTATS to estimate the largest block of contiguous memory is limited to 32-bit Windows platforms as described in the tech note,

http://www.mathworks.com/support/tech-notes/1100/1107.html

On 64-bit platforms, the commands FEATURE MEMSTATS and MEMORY return differing interpretations of available memory.

Executing the following command:

feature memstats

reports the largest memory address block available on the system. This number is in terms of the available memory addresses based on the theoretical limit/process Limit of the architecture (i.e. 32-bit Windows or 64-bit Windows) and not the physical resources that are available.

Best Answer

Related Solutions

MATLAB: Do I receive an “Insufficient number of outputs” error when training a network created using NNTOOL from the Neural Network Toolbox 6.0.3 (R2009b)

MATLAB: Am I getting inconsistent reports between FEATURE MEMSTATS and MEMORY in MATLAB 7.6 (R2008a)

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