[mlpack] Tutorial for HyperParameterTuning for FFNs (Ambica Prasad)

[Ambica Prasad]

Thanks a lot Aakash.

I tried compiling and found that the KFoldCV/SimpleCV strategy does not support FFNs. I presume that the best way forward is to perform the searching myself.

Thanks,
Ambica

From: mlpack <mlpack-bounces at lists.mlpack.org> On Behalf Of Aakash kaushik
Sent: 07 November 2020 23:46
To: mlpack at lists.mlpack.org
Subject: Re: [mlpack] Tutorial for HyperParameterTuning for FFNs (Ambica Prasad)

Hey Ambica

So There is not a specific tutorial available for that but you can always put the layer size in an array and loop over that for variable layers sizes or you can sample random integers from a range and for layer numbers I believe you have to change them manually every time but not totally sure about it.

Best,
Aakash

On Sat, Nov 7, 2020 at 10:30 PM <mlpack-request at lists.mlpack.org<mailto:mlpack-request at lists.mlpack.org>> wrote:
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   1. Tutorial for HyperParameterTuning for FFNs (Ambica Prasad)



---------- Forwarded message ----------
From: Ambica Prasad <Ambica.Prasad at arm.com<mailto:Ambica.Prasad at arm.com>>
To: "mlpack at lists.mlpack.org<mailto:mlpack at lists.mlpack.org>" <mlpack at lists.mlpack.org<mailto:mlpack at lists.mlpack.org>>
Cc:
Bcc:
Date: Sat, 7 Nov 2020 02:36:39 +0000
Subject: [mlpack] Tutorial for HyperParameterTuning for FFNs
Hi Guys,

Is there an example or a tutorial that explains how to perform the hyperparameter tuning for FFNs, where I can evaluate the network on different number of layers and layer-sizes?

Thanks,
Ambica


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