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From: | Christopher Richardson |
Subject: | Re: [Discuss-gnuradio] [SOCIS] TensorFlow |
Date: | Wed, 29 Jun 2016 14:00:45 +0100 |
Hi,
The classification accuracy looks good! But some questions:
Will you compare the performance with non-tensorflow machine learning
algorithms such as boosted decision trees or support vector machines
(e.g. provided by scikit-learn or xgboost)?
Your model is a deep neural network, so there is a convolutional layer
in this model to make use of the 2D representation of the spectral
coherence function? DNN implies for me only a bunch of hidden layers. As
well, convolution layer(s) makes the classificator translation invariant
(do you need this?).
Greetings,
Stefan
> _______________________________________________
On 06/29/2016 10:23 AM, Christopher Richardson wrote:
> Hi Everyone,
>
> I've just posted a blog article on what I've been working on
> recently - https://signalsintelligence.wordpress.com/2016/06/24/tensorflow/
>
> I'm now going to work on making a block for GNU Radio, which makes use
> of TensorFlow to classify signals.
>
> cheers
>
> Chris
>
>
> Discuss-gnuradio mailing list
> address@hidden
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