I need to implement a classification application for neuron-signals. In the first step, I need to train a denoising autoencoder(DAE) layer for signal cleaning then, I will feed the output to a DBN network for classification. I tried to find support for these types in Tensorflow but all what I found was two models CNN and RNN. Does anyone has an idea about a robust implementation for these two models using Tensorflow?
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I don't know about DBN (I too am searching for that) but Denoising Auto encoder are implemented in http://www.tflearn.org "Tflearn" – WiLL_K Mar 22 '17 at 09:51
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did u find the DBN implementation? – WiLL_K Mar 27 '17 at 12:16