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 > [email protected] > https://lists.gnu.org/mailman/listinfo/discuss-gnuradio > _______________________________________________ Discuss-gnuradio mailing list [email protected] https://lists.gnu.org/mailman/listinfo/discuss-gnuradio
