Hi Stefan, Thanks for your reply.
I'm currently working on a GNU Radio block which will be able to load any TensorFlow graph, which would allow different types of models to be utilised. At the moment in my repository only a single hidden layer is utilised with no convolutional layers. cheers Chris On Wed, Jun 29, 2016 at 1:23 PM, Stefan Wunsch < stefan.wun...@student.kit.edu> wrote: > 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 > > Discuss-gnuradio@gnu.org > > https://lists.gnu.org/mailman/listinfo/discuss-gnuradio > > >
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