Re: Using ADAMs software

Thanks very much Peter for your advice.........

Interesting comments re dl4j

I have tried to do a 'maven clean install' after cloning the software 
from the github BUT it always crashes out with an error

I am asking for help on the dl4j forum re the error but progress is slow :)

As I am familiar with the use of Weka I may go down that route

Kind regards

Bob M

Dunedin

On 1/16/2023 10:57 AM, Peter Reutemann wrote:
>> Consider the attached Convolutional Neural Network example
>>
>> Could somebody advise whether one could code this using the above software
>>
>> If yes - I am having trouble relating the various layers shown to the
>> 'actors' available in this software
> ADAMS does not incorporate any deep learning frameworks directly. A
> few years ago, I tried adding deeplearning4j (the same that
> WekaDeepLeaning4j uses) as a module, but their API keep changing all
> the time. which invalidated code all the time and made it impossible
> to keep up with (a lot of wrapper code needed to be written in order
> to make options accessible in the GUI).
>
> The (currently) only avenue for adding deep learning support to ADAMS
> is through the WekaDeepLearning4j package
> (https://deeplearning.cms.waikato.ac.nz/).
> I've never used that package, but from a quick glance at the document,
> you will need to configure a Dl4jMlpClassifier classifier with the
> layers that your network is made of:
> https://deeplearning.cms.waikato.ac.nz/examples/train_cnn/
>
> This setup, which is just another Weka classifier, can (in theory) be
> used just like any other classifier within ADAMS then.
>
> Please note: ADAMS uses its own package cache for Weka packages (split
> by Weka version), i.e., you will need to install that package through
> the Weka Package manager user interface that is available from ADAMS'
> main menu.
>
> Final note: for more ADAMS related questions ( like workflow, Weka
> Investigator, etc), please use the relevant ADAMS mailing list.
>
> Cheers, Peter
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